-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:29
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:29
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:28
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:27
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Spokane, US-WA
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:26
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:26
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:25
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:24
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:24
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:23
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:23
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:22
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: San Antonio, US-TX
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:21
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:21
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Houston, US-TX
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:20
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Nashville, US-TN
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:19
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Lubbock, US-TX
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:19
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Memphis, US-TN
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:18
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:18
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Providence, US-RI
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:17
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Newport, US-RI
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:16
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Sioux Falls, US-SD
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:16
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Rapid City, US-SD
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:15
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Columbia, US-SC
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:14
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
AI-Enhanced Analytics & Insight Generation
- Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights.
- Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency.
- Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use.
Data Analysis, KPI Development & Reporting
- Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners.
- Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks.
- Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement.
Power BI, Dashboarding & Data Products
- Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations.
- Enhance reporting workflows through semantic modeling, DAX optimization, and integration with
- Microsoft Fabric or other enterprise analytics platforms.
Automation, Low-Code Solutions & AI Tooling
- Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications.
- Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models.
Technology Enablement & Collaboration
- Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus.
- Promote responsible AI principles, documenting processes and advocating best practices across teams.
- Support team communication and strateg...
....Read more...
Type: Permanent Location: Charleston, US-SC
Salary / Rate: Not Specified
Posted: 2026-03-05 08:33:14
