-
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.
Minimum Requirements
- High school diploma or GED required and 0-6 months of relevant professional experience required, or equivalent combination of education and experience.
Program Specific Requirements
- Reliable transportation and valid automobile insurance
- Valid CA Driver's License
- Knowledge of the local community
- Willing and able to travel throughout surrounding counties as needed
- Fluency in threshold languages (English and Spanish)
- Six months of customer service experience
- Presentation and/or public speaking experience (teaching, marketing, cold-call, community outreach and education, or public relations experience) preferred
- Experience working with low-income and diverse populations preferred
- Basic computer navigation skills
- Ability to navigate multiple screens and systems
#CAHCO #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 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 bu...
....Read more...
Type: Permanent Location: San Diego, US-CA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:02
-
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: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:01
-
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: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:00
-
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: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:00
-
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: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:59
-
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: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:58
-
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: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:58
-
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: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:57
-
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: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:57
-
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: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:56
-
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: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:55
-
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: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:55
-
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: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:54
-
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: Lubbock, US-TX
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:53
-
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: Houston, US-TX
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:53
-
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: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:52
-
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 Antonio, US-TX
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:52
-
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: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:51
-
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: Rapid City, US-SD
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:50
-
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: Sioux Falls, US-SD
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:50
-
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: Columbia, US-SC
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:49
-
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: Charleston, US-SC
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:48
-
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: Memphis, US-TN
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:48
-
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: Nashville, US-TN
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:47
-
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: Providence, US-RI
Salary / Rate: Not Specified
Posted: 2026-07-18 09:42:44
