-
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: Tallahassee, US-FL
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:33
-
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: Miami, US-FL
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:32
-
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: Savannah, US-GA
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:32
-
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: Jacksonville, US-FL
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:31
-
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: Atlanta, US-GA
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:30
-
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: Tampa, US-FL
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:30
-
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: Denver, US-CO
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:29
-
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: Hartford, US-CT
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:29
-
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: Dover, US-DE
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:28
-
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: Bridgeport, US-CT
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:27
-
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: Colorado Springs, US-CO
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:27
-
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: Wilmington, US-DE
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:26
-
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: San Francisco, US-CA
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:25
-
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: Fort Smith, US-AR
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:25
-
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: San Diego, US-CA
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:24
-
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: Sacramento, US-CA
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:23
-
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: Little Rock, US-AR
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:23
-
Essential Duties and Responsibilities:
- Foster strong customer relationships, monitoring their engagement and progress.
- Collaborate regularly with customers to attain program goals and sustain eligibility for services.
- Conduct workshops and deliver various training services to customers.
- Demonstrate substantial program knowledge, assisting customers through multiple phases of the application process, from enrollment to benefit allocation.
- Aid customers in accessing services aligning with program objectives, including educational/vocational training, medical support, childcare, transportation, mental health services, legal aid, and related needs.
- Follow up with customers to ensure their needs are met and address any queries or concerns.
- Collaborate with team members, providing expertise and assistance in resolving participant issues.
- Maintain accurate and timely case notes for all customer interactions and document related activities.
- Share updates on outreach and engagement efforts with project staff.
- Report identified barriers hindering customer engagement with the Provider to project staff.
- Interface and maintain professional and positive relationships with HRA/LDSS county staff and clients
- Assist Call Center Operations and other departments as determined by project management to meet business needs
- Regular member of a processing unit within the Outreach department: EEU, Data Entry, and Manual Notices
- Conduct shadowing / training activities with new hires
- Works in assigned special projects
- Maintain Certified Application Counselor CAC active certification
- Conduct Certified Application Counselor (CAC) tasks in select counties
- Maintain updated knowledge of the New York Medicaid Choice Project
- Meet all standards established for this position as outlined in the corresponding annual performance criteria and bonus template for this position
- Perform other duties as assigned by Management
Minimum Requirements
- High school diploma or GED required and 0-6 months of relevant professional experience required, or equivalent combination of education and experience.
- Ability to speak, read, and write in English and Spanish fluently
- Prior work experience in customer service, data entry and or data processing
- Experience working with MS office applications (Excel, PowerPoint & Word)
Preferred Requirements
- Intermediate to advanced proficiency with MS office applications (Outlook, Excel, PowerPoint & Word)
- 2+ years of experience in customer service or related position
- Experience with New York Medicaid
#NYMC #NYMCCSR #LI-Onsite
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candida...
....Read more...
Type: Permanent Location: New York, US-NY
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:22
-
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: Los Angeles, US-CA
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:22
-
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: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:21
-
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: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:20
-
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: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:20
-
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: Mobile, US-AL
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:19
-
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: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:18
-
Essential Duties and Responsibilities
- Promote working relationships with customers and monitor engagement and progress.
- Liason with customers on a regular basis to meet and achieve program goals and/or maintain program services and eligibility.
- Exhibit considerable programmatic knowledge and assist customers in multiple phases of the application process, ranging from enrollment through the awarding of benefits and services.
- Assist customers to acquire services that facilitate program goals (e.g., educational and/or vocational training, medical, child care, transportation, substance abuse/mental health, child support establishment, legal, and other related needs).
- Maintain accurate and timely case notes on all customer contacts and document activities.
- Share information about outreach and engagement efforts with project staff.
- Inform project staff of any barriers that they identify and that are preventing the customer from engaging with the Provider.
Minimum Requirements
- High School Diploma
- 2-4 years of experience
-Case Management experience preferred
-Strong knowledge of Microsoft Office Suite preferred
-Prior experience working with a diverse population preferred
-Experience in developing Employability or Service Plans (ESP) for clients preferred
-Comfortable working in an independent work environment
-Strong computer and organizational skills preferred
-Must live in or near Missoula, MT
#HumanServices #LI-Hybrid
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment.
Annual salary is just one component of Maximus's total compensation package.
Other rewards may include short- and long-term incentives as well as program-specific awards.
Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off.
Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience.
An applicant's salary history will not be used in determining compensation.
Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment.
If you require assistance at any stage of the em...
....Read more...
Type: Permanent Location: Missoula, US-MT
Salary / Rate: Not Specified
Posted: 2026-02-25 08:10:18
