-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Columbus, US-GA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:41:02
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Bridgeport, US-CT
Salary / Rate: Not Specified
Posted: 2026-07-18 09:41:01
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Miami, US-FL
Salary / Rate: Not Specified
Posted: 2026-07-18 09:41:01
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Hartford, US-CT
Salary / Rate: Not Specified
Posted: 2026-07-18 09:41:00
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Dover, US-DE
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:59
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Jacksonville, US-FL
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:59
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Wilmington, US-DE
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:58
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Los Angeles, US-CA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:57
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: San Diego, US-CA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:57
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Colorado Springs, US-CO
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:56
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Denver, US-CO
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:53
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Sacramento, US-CA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:51
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: San Francisco, US-CA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:51
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:50
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Little Rock, US-AR
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:50
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Fort Smith, US-AR
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:49
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:48
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Mobile, US-AL
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:48
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:47
-
Essential Duties and Responsibilities:
- Organize project teams, assign individual responsibilities, develop project schedules, and determine resource requirements.
- Oversee all facets of project operations.
- Deploy resources to address all operational needs.
- Make informed decisions and ensure adherence to budgets.
- Communicate updates and project status effectively and efficiently.
- Recommend innovative methodologies, techniques, and criteria for projects.
- Ensure adherence and compliance to internal and external quality standards.
- Manage routine and ad hoc client communications through the leadership approval process and ensure timely delivery to clients.
- Ensure communications and related deliverables are tracked internally and that statuses are reported accurately.
- Review program documentation and communications to ensure compliance with government standards and requirements.
- Coordinate with program leadership and other key personnel to ensure issues are resolved effectively and in a timely manner.
- Manage all facets of assigned projects and initiatives.
- Ensure compliance with all internal and external requirements, program business rules, and applicable state and federal regulations.
- Oversee the quality, accuracy, and timeliness of contractually required reports and deliverables.
- Collaborate with project and executive leadership to establish strategic plans, objectives, initiatives, and work plans.
- Work with project and executive leadership to develop, monitor, and achieve project and staff performance goals and objectives.
- Analyze daily, weekly, and monthly reports to measure performance and identify operational efficiencies.
- Identify potential problem areas, recommend solutions, and work closely with clients to resolve issues.
- Facilitate communication regarding project status, including corrective and preventive actions, to leadership stakeholders.
- Develop, revise, and implement project policies, ensuring compliance across all project team members.
- Support issue and risk management activities, including the development and execution of mitigation and contingency plans.
Additional Requirements Per Client:
- Must reside in the U.S.
- Must be a U.S.
Citizen
- Must be able to pass a Federal Background Check
- Must not be delinquent or in default on any Federal Student Loans
Home Office Requirements:
- Private and Secure workspace from home.
At times, you may be required to facilitate and/or speak during meetings.
- Access to Wi-Fi, LAN (wired connection/ethernet) or both at home
- Internet provider that offers enough speed for multiple users without latency or lag.
(i.e.
housemate also WFH, kids playing video games or streaming shows, etc.)
- Internet download speed of 25mbps single/50mbps shared and 5mbps (10 preferred) upload or higher required (you can test this by going to [1] www.speedtest.net)
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of pro...
....Read more...
Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:46
-
Essential Duties and Responsibilities:
- Responsible for completing medical and/or behavioral health assessments within contract requirements
- Conducts on-site, video call and/or telephonic assessments to determine an individual's needs for services and supports, eligibility, level of care or related outcome
- Perform all job duties in compliance with Person First standards, HIPAA guidelines, and company confidentiality policies and procedures.
- Travel may be required based on program contract requirements
- Performs other related duties as assigned.
-Conduct assessments using standardized tools (UCA, TTT) to identify medical, functional, and social needs
-Develop and manage service plans for complex or high-acuity members, coordinating with healthcare providers, case managers, and community resources
-Evaluate eligibility for recommended referrals to other professionals or agencies
-Maintain compliance with state and federal regulations, Medicaid/LTSS program guidelines, and electronic health record systems
-Collaborate with care teams to revise care plans as needs change, ensuring alignment with member goals
-Provide education to members, families, and caregivers on available services and options
-Document assessments and care activities accurately to support billing, compliance, and quality reporting
-Advocate for members to help them remain in preferred living environments and maintain independence
Minimum Requirements
- Current Registered Nurse (RN) license valid in the state of practice is required
- High School Degree or equivalent required
- Minimum 2 years of clinical experience required
- An active, unencumbered Registered Nurse (RN) license in the state of Massachusetts.
- Minimum of two (2) years of relevant post-graduate clinical experience as a Registered Nurse.
- Experience working with vulnerable populations, including individuals with behavioral health needs, intellectual and developmental disabilities (I/DD), and those requiring long-term services and supports (LTSS).
- Experience conducting clinical or functional assessments in home or community-based settings, such as behavioral health evaluations, level of care determinations, or utilization reviews.
- Knowledge of community-based services, care coordination, and person-centered care planning.
- Familiarity with MassHealth programs, LTSS, and Home and Community-Based Services (HCBS) waiver programs.
- Proficiency in Microsoft Office applications.
-
Experience documenting assessments in electronic systems.
Home Office Requirements
- Maximus provides company-issued computer equipment
- Reliable high-speed internet service
- Minimum 20 Mpbs download speeds/50 Mpbs for shared internet connectivity
- Minimum 5 Mpbs upload speeds
- Private and secure workspace
#hbcucon #mard #marn #ClinicalServices #LI-Hybrid
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, nat...
....Read more...
Type: Permanent Location: Quincy, US-MA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:46
-
Essential Duties and Responsibilities:
- Organize project teams, assign individual responsibilities, develop project schedules, and determine resource requirements.
- Oversee all facets of project operations.
- Deploy resources to address all operational needs.
- Make informed decisions and ensure adherence to budgets.
- Communicate updates and project status effectively and efficiently.
- Recommend innovative methodologies, techniques, and criteria for projects.
- Ensure adherence and compliance to internal and external quality standards.
- Manage routine and ad hoc client communications through the leadership approval process and ensure timely delivery to clients.
- Ensure communications and related deliverables are tracked internally and that statuses are reported accurately.
- Review program documentation and communications to ensure compliance with government standards and requirements.
- Coordinate with program leadership and other key personnel to ensure issues are resolved effectively and in a timely manner.
- Manage all facets of assigned projects and initiatives.
- Ensure compliance with all internal and external requirements, program business rules, and applicable state and federal regulations.
- Oversee the quality, accuracy, and timeliness of contractually required reports and deliverables.
- Collaborate with project and executive leadership to establish strategic plans, objectives, initiatives, and work plans.
- Work with project and executive leadership to develop, monitor, and achieve project and staff performance goals and objectives.
- Analyze daily, weekly, and monthly reports to measure performance and identify operational efficiencies.
- Identify potential problem areas, recommend solutions, and work closely with clients to resolve issues.
- Facilitate communication regarding project status, including corrective and preventive actions, to leadership stakeholders.
- Develop, revise, and implement project policies, ensuring compliance across all project team members.
- Support issue and risk management activities, including the development and execution of mitigation and contingency plans.
Additional Requirements Per Client:
- Must reside in the U.S.
- Must be a U.S.
Citizen
- Must be able to pass a Federal Background Check
- Must not be delinquent or in default on any Federal Student Loans
Home Office Requirements:
- Private and Secure workspace from home.
At times, you may be required to facilitate and/or speak during meetings.
- Access to Wi-Fi, LAN (wired connection/ethernet) or both at home
- Internet provider that offers enough speed for multiple users without latency or lag.
(i.e.
housemate also WFH, kids playing video games or streaming shows, etc.)
- Internet download speed of 25mbps single/50mbps shared and 5mbps (10 preferred) upload or higher required (you can test this by going to [1] www.speedtest.net)
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of pro...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:45
-
Essential Duties and Responsibilities:
- Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
- Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
- Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
- Identify the most suitable decision technology techniques to apply within various analytical frameworks.
Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
- Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
- Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
- Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
- Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
- Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
- Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.
- Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.
- Performs research, analysis, and modeling on organizational data.
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
- Provides findings and analysis for use in decision making.
- Performs work with a high degree of latitude.
- Handles the most complex issues.
- Possesses expert knowledge of subject matter.
- Provides leadership, coaching, and/or mentoring to subordinate group.
- May act as a lead or first-level supervisor
Minimum Requirements
- Bachelor's Degree or equivalent experience and 7+ Years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
- Experience with common data science toolkits.
Excellence in multiple of these is highly desirable
- Experience with data visualization tools
- Advanced applied statistics skills, such as distributions, s...
....Read more...
Type: Permanent Location: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:45
-
Essential Duties and Responsibilities:
- Organize project teams, assign individual responsibilities, develop project schedules, and determine resource requirements.
- Oversee all facets of project operations.
- Deploy resources to address all operational needs.
- Make informed decisions and ensure adherence to budgets.
- Communicate updates and project status effectively and efficiently.
- Recommend innovative methodologies, techniques, and criteria for projects.
- Ensure adherence and compliance to internal and external quality standards.
- Manage routine and ad hoc client communications through the leadership approval process and ensure timely delivery to clients.
- Ensure communications and related deliverables are tracked internally and that statuses are reported accurately.
- Review program documentation and communications to ensure compliance with government standards and requirements.
- Coordinate with program leadership and other key personnel to ensure issues are resolved effectively and in a timely manner.
- Manage all facets of assigned projects and initiatives.
- Ensure compliance with all internal and external requirements, program business rules, and applicable state and federal regulations.
- Oversee the quality, accuracy, and timeliness of contractually required reports and deliverables.
- Collaborate with project and executive leadership to establish strategic plans, objectives, initiatives, and work plans.
- Work with project and executive leadership to develop, monitor, and achieve project and staff performance goals and objectives.
- Analyze daily, weekly, and monthly reports to measure performance and identify operational efficiencies.
- Identify potential problem areas, recommend solutions, and work closely with clients to resolve issues.
- Facilitate communication regarding project status, including corrective and preventive actions, to leadership stakeholders.
- Develop, revise, and implement project policies, ensuring compliance across all project team members.
- Support issue and risk management activities, including the development and execution of mitigation and contingency plans.
Additional Requirements Per Client:
- Must reside in the U.S.
- Must be a U.S.
Citizen
- Must be able to pass a Federal Background Check
- Must not be delinquent or in default on any Federal Student Loans
Home Office Requirements:
- Private and Secure workspace from home.
At times, you may be required to facilitate and/or speak during meetings.
- Access to Wi-Fi, LAN (wired connection/ethernet) or both at home
- Internet provider that offers enough speed for multiple users without latency or lag.
(i.e.
housemate also WFH, kids playing video games or streaming shows, etc.)
- Internet download speed of 25mbps single/50mbps shared and 5mbps (10 preferred) upload or higher required (you can test this by going to [1] www.speedtest.net)
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of pro...
....Read more...
Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:44
-
Essential Duties and Responsibilities:
- Organize project teams, assign individual responsibilities, develop project schedules, and determine resource requirements.
- Oversee all facets of project operations.
- Deploy resources to address all operational needs.
- Make informed decisions and ensure adherence to budgets.
- Communicate updates and project status effectively and efficiently.
- Recommend innovative methodologies, techniques, and criteria for projects.
- Ensure adherence and compliance to internal and external quality standards.
- Manage routine and ad hoc client communications through the leadership approval process and ensure timely delivery to clients.
- Ensure communications and related deliverables are tracked internally and that statuses are reported accurately.
- Review program documentation and communications to ensure compliance with government standards and requirements.
- Coordinate with program leadership and other key personnel to ensure issues are resolved effectively and in a timely manner.
- Manage all facets of assigned projects and initiatives.
- Ensure compliance with all internal and external requirements, program business rules, and applicable state and federal regulations.
- Oversee the quality, accuracy, and timeliness of contractually required reports and deliverables.
- Collaborate with project and executive leadership to establish strategic plans, objectives, initiatives, and work plans.
- Work with project and executive leadership to develop, monitor, and achieve project and staff performance goals and objectives.
- Analyze daily, weekly, and monthly reports to measure performance and identify operational efficiencies.
- Identify potential problem areas, recommend solutions, and work closely with clients to resolve issues.
- Facilitate communication regarding project status, including corrective and preventive actions, to leadership stakeholders.
- Develop, revise, and implement project policies, ensuring compliance across all project team members.
- Support issue and risk management activities, including the development and execution of mitigation and contingency plans.
Additional Requirements Per Client:
- Must reside in the U.S.
- Must be a U.S.
Citizen
- Must be able to pass a Federal Background Check
- Must not be delinquent or in default on any Federal Student Loans
Home Office Requirements:
- Private and Secure workspace from home.
At times, you may be required to facilitate and/or speak during meetings.
- Access to Wi-Fi, LAN (wired connection/ethernet) or both at home
- Internet provider that offers enough speed for multiple users without latency or lag.
(i.e.
housemate also WFH, kids playing video games or streaming shows, etc.)
- Internet download speed of 25mbps single/50mbps shared and 5mbps (10 preferred) upload or higher required (you can test this by going to [1] www.speedtest.net)
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of pro...
....Read more...
Type: Permanent Location: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:40:43
