-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Wilmington, US-DE
Salary / Rate: Not Specified
Posted: 2026-10-17 09:50:01
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Sacramento, US-CA
Salary / Rate: Not Specified
Posted: 2026-10-17 09:50:00
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Bridgeport, US-CT
Salary / Rate: Not Specified
Posted: 2026-10-17 09:50:00
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: San Francisco, US-CA
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:59
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Colorado Springs, US-CO
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:59
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Denver, US-CO
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:58
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:57
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Hartford, US-CT
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:57
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Fort Smith, US-AR
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:56
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:55
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Los Angeles, US-CA
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:55
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: San Diego, US-CA
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:54
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Little Rock, US-AR
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:53
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:53
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:52
-
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.
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, statistical testing, regression, etc.
- Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
- Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
- Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
- Must possess superior oral and written communication skills.
- A strong passion for empirical research and for answering complex questions with data.
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly w...
....Read more...
Type: Permanent Location: Mobile, US-AL
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:51
-
Essential Duties and Responsibilities:
- Assists the leadership with the day-to-day running of the core functional areas to ensure compliance with the prime contract, all subsequent amendments, program business rules, as well as state and federal regulations.
- Analyzes daily, weekly, and monthly reports for performance measurement and efficiencies
- Participates with project and executive management to establish strategic plans, objectives, initiatives, and work plans
- Assists the leadership in efforts to facilitate a functional, motivated, and cohesive project team
- Directly supervises and manages key Project staff as determined by the leadership
- Works with Project and executive management to develop, monitor and revise performance goals and objectives for the project and staff.
Monitors achievement of those goals
- Provides direction to team members and resolves problems in a timely and professional manner
- Assists in the creation and implementation of innovative methodologies, process improvements and corrective action plans to continually streamline and improve project operations, outcomes, and quality.
- Develops, modifies, and executes project policies, ensuring all project team members comply
- Meets all standards established for this position as outlined in the corresponding annual performance criteria and bonus template for this position
- Performs other duties as may be assigned by Management
-Provide comprehensive evaluation, treatment, and rehabilitation of neuromusculoskeletal conditions.
-Function as a direct-access care provider by evaluating and treating clients without referral, within approved clinical privileges.
-Develop and implement proactive injury mitigation strategies, including risk factor identification, targeted interventions, and unit-specific programs.
-Support programs designed to optimize physical readiness and reduce musculoskeletal injury.
-Provide post-operative evaluation and rehabilitative care, including development of plans of care consistent with clinical practice guidelines and evidence-based medicine.
-Provide direct clinical supervision of PT Technicians and PT Assistants, as directed and within applicable scopes of practice.
-Participate in periodic meetings with POTFF and other staff to review client care and identify process improvement opportunities.
-Advise POTFF, Physical Domain leadership, medical leadership, and command leadership on sports medicine, injury mitigation, rehabilitation, human performance research, supplies, equipment, and related administrative matters.
-Participate in medical and clinical quality management, quality assurance, and client safety procedures.
-Assist with development and updates to criteria-based job descriptions, performance standards, clinical practice guidelines, training materials, and in-service training.
-Submit fiscal and resource input to POTFF, medical, and/or command leadership.
-Perform other duties within the scope of the PT position ...
....Read more...
Type: Permanent Location: San Diego, US-CA
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:51
-
Essential Duties and Responsibilities:
- Responsible for evaluating staff members on the quality of work performed as measured against project standards, contractual requirements and performance measures.
- Assist with the development, design and recommend strategies or activities intended to improve performance in Call Center Operations.
- Assist with the development, analysis and distribution of project reports and performance indicators.
- Regularly assess the knowledge needs of the staff related to processes and policies regarding the client/contract operations and develop plans to meet those requirements.
- Conduct monitoring activities for quality assurance purposes.
- Assist with monitoring performance and meeting contractual requirements.
- Remain up-to-date on policies and procedures for all operations, assists in developing new procedures, and updates existing procedures when changes occur.
- Assist in the production and update of staff resource materials including quick reference guide, matrices, charts, and workflows.
- Assist with staff training, as necessary.
- Meet all standards established for this position as outlined in the attached performance criteria.
- Perform other duties as may be assigned by corporate management.
- Evaluate customer interactions to ensure quality, accuracy, and compliance with established standards.
- Analyze performance data and quality metrics to identify trends, strengths, and areas for improvement.
- Provide constructive feedback and support coaching initiatives to enhance employee performance.
Assist with training efforts by identifying knowledge gaps and reinforcing operational procedures.
- Monitor adherence to contractual requirements, policies, and quality standards.
- Prepare and communicate quality findings, performance results, and recommendations to leadership.
- Collaborate with Operations, Training, and Management teams to improve service delivery and customer satisfaction.
- Support continuous improvement initiatives by identifying process efficiencies and best practices.
- Demonstrate strong analytical, communication, and problem-solving skills in a fast-paced call center environment.
- Maintain a customer-focused approach while promoting quality excellence and operational effectiveness
Minimum Requirements
- This position requires bilingual proficiency in languages as specified.
- High School diploma or equivalent with 0-2 years of experience.
- May have additional training or education in area of specialization.
- Work on assignments that are routine in nature, with responsibilities easily learned on the job.
- Acquire job skills and learns applicable policies and procedures to complete routine tasks.
- Able to read, understand & perform assignments within prescribed guidelines.
- Communicate routine information in a clear and accurate way with internal & external contacts.
- Fluent in English and Spanish (must be able to speak, read and write)
- Prior ex...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:50
-
Essential Duties and Responsibilities:
- Serve as a subject matter resource for customer inquiries received via telephone, interactive voice response (IVR), web based portals, or outreach activities regarding program information and services.
- Manage and support escalated enrollment cases and processes in accordance with established case resolution procedures.
- Respond to complex or sensitive customer concerns by applying program policies, procedures, and guidelines to determine appropriate actions or referrals.
- Accurately document customer interactions, case activity, outreach efforts, and actions taken in applicable systems.
- Navigate and utilize multiple systems, tools, and data sources to retrieve, review, compare, analyze, and verify customer or program information.
- Conduct outbound contacts to customers to obtain corrections, clarification, or required documentation to support case resolution or enrollment verification.
- Review and compare customer submitted documentation, including income or eligibility materials, against application data to verify accuracy and compliance.
- Apply program knowledge to educate customers on program offerings, eligibility requirements, enrollment options, and available services.
- Support customers throughout multiple phases of the application or service lifecycle, from enrollment through receipt of benefits or services.
- Identify issues, trends, or barriers impacting customer engagement or service delivery and report concerns to management or project staff as appropriate.
- Collaborate with internal teams, client escalation groups, and external partners to support effective resolution of customer issues and project objectives.
- Maintain confidentiality and security of customer, provider, and program information at all times.
- Meet or exceed established productivity, quality assurance, and performance standards.
- Attend required meetings and trainings and maintain up to date knowledge of programs, systems, policies, procedures, and compliance requirements.
- Perform other related duties as assigned by management.
- Conduct face-to-face and/or virtual (telephonic) outreach and enrollment services, including education on managed care options and public health programs to clients at LDSS/HRA offices
- Assist clients with the enrollment/transfer/disenrollment process
- Interface and maintain professional and positive relationships with HRA/LDSS county staff and clients
- Assist Call Center Operations and other departments as determined by project management to meet business needs
- Regular member of a processing unit within the Outreach department:
EEU
Data Entry
Manual Notices
- Conduct shadowing / training activities with new hires
- Works in assigned special projects
- Maintain Certified Application Counselor CAC active certification
- Conduct Certified Application Counselor (CAC) tasks in select counties
- Maintain updated knowledge of the New York Medicaid Choice Project
- Meet a...
....Read more...
Type: Permanent Location: Peekskill, US-NY
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:50
-
Essential Duties and Responsibilities:
- Responsible for evaluating staff members on the quality of work performed as measured against project standards, contractual requirements and performance measures.
- Assist with the development, design and recommend strategies or activities intended to improve performance in Call Center Operations.
- Assist with the development, analysis and distribution of project reports and performance indicators.
- Regularly assess the knowledge needs of the staff related to processes and policies regarding the client/contract operations and develop plans to meet those requirements.
- Conduct monitoring activities for quality assurance purposes.
- Assist with monitoring performance and meeting contractual requirements.
- Remain up-to-date on policies and procedures for all operations, assists in developing new procedures, and updates existing procedures when changes occur.
- Assist in the production and update of staff resource materials including quick reference guide, matrices, charts, and workflows.
- Assist with staff training, as necessary.
- Meet all standards established for this position as outlined in the attached performance criteria.
- Perform other duties as may be assigned by corporate management.
- Evaluate customer interactions to ensure quality, accuracy, and compliance with established standards.
- Analyze performance data and quality metrics to identify trends, strengths, and areas for improvement.
- Provide constructive feedback and support coaching initiatives to enhance employee performance.
Assist with training efforts by identifying knowledge gaps and reinforcing operational procedures.
- Monitor adherence to contractual requirements, policies, and quality standards.
- Prepare and communicate quality findings, performance results, and recommendations to leadership.
- Collaborate with Operations, Training, and Management teams to improve service delivery and customer satisfaction.
- Support continuous improvement initiatives by identifying process efficiencies and best practices.
- Demonstrate strong analytical, communication, and problem-solving skills in a fast-paced call center environment.
- Maintain a customer-focused approach while promoting quality excellence and operational effectiveness
Minimum Requirements
- This position requires bilingual proficiency in languages as specified.
- High School diploma or equivalent with 0-2 years of experience.
- May have additional training or education in area of specialization.
- Work on assignments that are routine in nature, with responsibilities easily learned on the job.
- Acquire job skills and learns applicable policies and procedures to complete routine tasks.
- Able to read, understand & perform assignments within prescribed guidelines.
- Communicate routine information in a clear and accurate way with internal & external contacts.
- Fluent in English and Spanish (must be able to speak, read and write)
- Prior ex...
....Read more...
Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:49
-
Essential Duties and Responsibilities:
- Responsible for evaluating staff members on the quality of work performed as measured against project standards, contractual requirements and performance measures.
- Assist with the development, design and recommend strategies or activities intended to improve performance in Call Center Operations.
- Assist with the development, analysis and distribution of project reports and performance indicators.
- Regularly assess the knowledge needs of the staff related to processes and policies regarding the client/contract operations and develop plans to meet those requirements.
- Conduct monitoring activities for quality assurance purposes.
- Assist with monitoring performance and meeting contractual requirements.
- Remain up-to-date on policies and procedures for all operations, assists in developing new procedures, and updates existing procedures when changes occur.
- Assist in the production and update of staff resource materials including quick reference guide, matrices, charts, and workflows.
- Assist with staff training, as necessary.
- Meet all standards established for this position as outlined in the attached performance criteria.
- Perform other duties as may be assigned by corporate management.
- Evaluate customer interactions to ensure quality, accuracy, and compliance with established standards.
- Analyze performance data and quality metrics to identify trends, strengths, and areas for improvement.
- Provide constructive feedback and support coaching initiatives to enhance employee performance.
Assist with training efforts by identifying knowledge gaps and reinforcing operational procedures.
- Monitor adherence to contractual requirements, policies, and quality standards.
- Prepare and communicate quality findings, performance results, and recommendations to leadership.
- Collaborate with Operations, Training, and Management teams to improve service delivery and customer satisfaction.
- Support continuous improvement initiatives by identifying process efficiencies and best practices.
- Demonstrate strong analytical, communication, and problem-solving skills in a fast-paced call center environment.
- Maintain a customer-focused approach while promoting quality excellence and operational effectiveness
Minimum Requirements
- This position requires bilingual proficiency in languages as specified.
- High School diploma or equivalent with 0-2 years of experience.
- May have additional training or education in area of specialization.
- Work on assignments that are routine in nature, with responsibilities easily learned on the job.
- Acquire job skills and learns applicable policies and procedures to complete routine tasks.
- Able to read, understand & perform assignments within prescribed guidelines.
- Communicate routine information in a clear and accurate way with internal & external contacts.
- Fluent in English and Spanish (must be able to speak, read and write)
- Prior ex...
....Read more...
Type: Permanent Location: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:48
-
Essential Duties and Responsibilities:
- Responsible for evaluating staff members on the quality of work performed as measured against project standards, contractual requirements and performance measures.
- Assist with the development, design and recommend strategies or activities intended to improve performance in Call Center Operations.
- Assist with the development, analysis and distribution of project reports and performance indicators.
- Regularly assess the knowledge needs of the staff related to processes and policies regarding the client/contract operations and develop plans to meet those requirements.
- Conduct monitoring activities for quality assurance purposes.
- Assist with monitoring performance and meeting contractual requirements.
- Remain up-to-date on policies and procedures for all operations, assists in developing new procedures, and updates existing procedures when changes occur.
- Assist in the production and update of staff resource materials including quick reference guide, matrices, charts, and workflows.
- Assist with staff training, as necessary.
- Meet all standards established for this position as outlined in the attached performance criteria.
- Perform other duties as may be assigned by corporate management.
- Evaluate customer interactions to ensure quality, accuracy, and compliance with established standards.
- Analyze performance data and quality metrics to identify trends, strengths, and areas for improvement.
- Provide constructive feedback and support coaching initiatives to enhance employee performance.
Assist with training efforts by identifying knowledge gaps and reinforcing operational procedures.
- Monitor adherence to contractual requirements, policies, and quality standards.
- Prepare and communicate quality findings, performance results, and recommendations to leadership.
- Collaborate with Operations, Training, and Management teams to improve service delivery and customer satisfaction.
- Support continuous improvement initiatives by identifying process efficiencies and best practices.
- Demonstrate strong analytical, communication, and problem-solving skills in a fast-paced call center environment.
- Maintain a customer-focused approach while promoting quality excellence and operational effectiveness
Minimum Requirements
- This position requires bilingual proficiency in languages as specified.
- High School diploma or equivalent with 0-2 years of experience.
- May have additional training or education in area of specialization.
- Work on assignments that are routine in nature, with responsibilities easily learned on the job.
- Acquire job skills and learns applicable policies and procedures to complete routine tasks.
- Able to read, understand & perform assignments within prescribed guidelines.
- Communicate routine information in a clear and accurate way with internal & external contacts.
- Fluent in English and Spanish (must be able to speak, read and write)
- Prior ex...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:48
-
Essential Duties and Responsibilities:
- Responsible for evaluating staff members on the quality of work performed as measured against project standards, contractual requirements and performance measures.
- Assist with the development, design and recommend strategies or activities intended to improve performance in Call Center Operations.
- Assist with the development, analysis and distribution of project reports and performance indicators.
- Regularly assess the knowledge needs of the staff related to processes and policies regarding the client/contract operations and develop plans to meet those requirements.
- Conduct monitoring activities for quality assurance purposes.
- Assist with monitoring performance and meeting contractual requirements.
- Remain up-to-date on policies and procedures for all operations, assists in developing new procedures, and updates existing procedures when changes occur.
- Assist in the production and update of staff resource materials including quick reference guide, matrices, charts, and workflows.
- Assist with staff training, as necessary.
- Meet all standards established for this position as outlined in the attached performance criteria.
- Perform other duties as may be assigned by corporate management.
- Evaluate customer interactions to ensure quality, accuracy, and compliance with established standards.
- Analyze performance data and quality metrics to identify trends, strengths, and areas for improvement.
- Provide constructive feedback and support coaching initiatives to enhance employee performance.
Assist with training efforts by identifying knowledge gaps and reinforcing operational procedures.
- Monitor adherence to contractual requirements, policies, and quality standards.
- Prepare and communicate quality findings, performance results, and recommendations to leadership.
- Collaborate with Operations, Training, and Management teams to improve service delivery and customer satisfaction.
- Support continuous improvement initiatives by identifying process efficiencies and best practices.
- Demonstrate strong analytical, communication, and problem-solving skills in a fast-paced call center environment.
- Maintain a customer-focused approach while promoting quality excellence and operational effectiveness
Minimum Requirements
- This position requires bilingual proficiency in languages as specified.
- High School diploma or equivalent with 0-2 years of experience.
- May have additional training or education in area of specialization.
- Work on assignments that are routine in nature, with responsibilities easily learned on the job.
- Acquire job skills and learns applicable policies and procedures to complete routine tasks.
- Able to read, understand & perform assignments within prescribed guidelines.
- Communicate routine information in a clear and accurate way with internal & external contacts.
- Fluent in English and Spanish (must be able to speak, read and write)
- Prior ex...
....Read more...
Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:47
-
Essential Duties and Responsibilities:
- Responsible for evaluating staff members on the quality of work performed as measured against project standards, contractual requirements and performance measures.
- Assist with the development, design and recommend strategies or activities intended to improve performance in Call Center Operations.
- Assist with the development, analysis and distribution of project reports and performance indicators.
- Regularly assess the knowledge needs of the staff related to processes and policies regarding the client/contract operations and develop plans to meet those requirements.
- Conduct monitoring activities for quality assurance purposes.
- Assist with monitoring performance and meeting contractual requirements.
- Remain up-to-date on policies and procedures for all operations, assists in developing new procedures, and updates existing procedures when changes occur.
- Assist in the production and update of staff resource materials including quick reference guide, matrices, charts, and workflows.
- Assist with staff training, as necessary.
- Meet all standards established for this position as outlined in the attached performance criteria.
- Perform other duties as may be assigned by corporate management.
- Evaluate customer interactions to ensure quality, accuracy, and compliance with established standards.
- Analyze performance data and quality metrics to identify trends, strengths, and areas for improvement.
- Provide constructive feedback and support coaching initiatives to enhance employee performance.
Assist with training efforts by identifying knowledge gaps and reinforcing operational procedures.
- Monitor adherence to contractual requirements, policies, and quality standards.
- Prepare and communicate quality findings, performance results, and recommendations to leadership.
- Collaborate with Operations, Training, and Management teams to improve service delivery and customer satisfaction.
- Support continuous improvement initiatives by identifying process efficiencies and best practices.
- Demonstrate strong analytical, communication, and problem-solving skills in a fast-paced call center environment.
- Maintain a customer-focused approach while promoting quality excellence and operational effectiveness
Minimum Requirements
- This position requires bilingual proficiency in languages as specified.
- High School diploma or equivalent with 0-2 years of experience.
- May have additional training or education in area of specialization.
- Work on assignments that are routine in nature, with responsibilities easily learned on the job.
- Acquire job skills and learns applicable policies and procedures to complete routine tasks.
- Able to read, understand & perform assignments within prescribed guidelines.
- Communicate routine information in a clear and accurate way with internal & external contacts.
- Fluent in English and Spanish (must be able to speak, read and write)
- Prior ex...
....Read more...
Type: Permanent Location: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:46
-
Essential Duties and Responsibilities:
- Responsible for evaluating staff members on the quality of work performed as measured against project standards, contractual requirements and performance measures.
- Assist with the development, design and recommend strategies or activities intended to improve performance in Call Center Operations.
- Assist with the development, analysis and distribution of project reports and performance indicators.
- Regularly assess the knowledge needs of the staff related to processes and policies regarding the client/contract operations and develop plans to meet those requirements.
- Conduct monitoring activities for quality assurance purposes.
- Assist with monitoring performance and meeting contractual requirements.
- Remain up-to-date on policies and procedures for all operations, assists in developing new procedures, and updates existing procedures when changes occur.
- Assist in the production and update of staff resource materials including quick reference guide, matrices, charts, and workflows.
- Assist with staff training, as necessary.
- Meet all standards established for this position as outlined in the attached performance criteria.
- Perform other duties as may be assigned by corporate management.
- Evaluate customer interactions to ensure quality, accuracy, and compliance with established standards.
- Analyze performance data and quality metrics to identify trends, strengths, and areas for improvement.
- Provide constructive feedback and support coaching initiatives to enhance employee performance.
Assist with training efforts by identifying knowledge gaps and reinforcing operational procedures.
- Monitor adherence to contractual requirements, policies, and quality standards.
- Prepare and communicate quality findings, performance results, and recommendations to leadership.
- Collaborate with Operations, Training, and Management teams to improve service delivery and customer satisfaction.
- Support continuous improvement initiatives by identifying process efficiencies and best practices.
- Demonstrate strong analytical, communication, and problem-solving skills in a fast-paced call center environment.
- Maintain a customer-focused approach while promoting quality excellence and operational effectiveness
Minimum Requirements
- This position requires bilingual proficiency in languages as specified.
- High School diploma or equivalent with 0-2 years of experience.
- May have additional training or education in area of specialization.
- Work on assignments that are routine in nature, with responsibilities easily learned on the job.
- Acquire job skills and learns applicable policies and procedures to complete routine tasks.
- Able to read, understand & perform assignments within prescribed guidelines.
- Communicate routine information in a clear and accurate way with internal & external contacts.
- Fluent in English and Spanish (must be able to speak, read and write)
- Prior ex...
....Read more...
Type: Permanent Location: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-10-17 09:49:46
