-
- Partner with senior business leaders and executives to define and execute HR strategies that align with business goals, driving organizational performance and operational effectiveness.
- Provide thought leadership on key HR initiatives, advising leadership on best practices related to workforce planning, organizational design, and leadership development.
- Leverage data to guide talent and performance decisions, enhancing the organization's ability to attract, develop, and retain top talent.
- Foster a collaborative, high-impact HR team culture focused on delivering results and supporting the business's strategic goals.
- Continuously evaluate and improve HR programs, policies, and practices to ensure they meet the evolving needs of the business and comply with legal and regulatory requirements.
- Align with key HR stakeholder leaders to assess intersectionality of initiatives, address current and/or anticipated challenges, and maintain transparency.
- Serve as a trusted advisor, influencing business decisions through a deep understanding of business operations, industry trends, and HR analytics, while also advising on complex business issues.
- Lead and develop a team of HR professionals, setting clear expectations, providing coaching, and ensuring the team is aligned with business goals and equipped to execute HR initiatives effectively.
Job-Specific Essential Duties and Responsibilities:
- Frontline HR Support: Provide a single point of contact team, greet and assist candidates and family members with HR inquiries, providing accurate guidance on leave options, eligibility, career opportunities, talent acquisition processes, job requirements, and other HR policies.
- Self-Service Assistance: Offer "white glove" support using HR systems, mobile apps, and other self-service tools to help team members manage their HR needs independently if they choose.
- Employee Onboarding: Manage the onboarding process, including orientation, documentation, and integration into the team.
- Recruitment Process Management: Support the recruitment process, including candidate follow-up, scheduling interviews, and coordinating with hiring managers.
- Leave Management: Assist with leave requests, approvals, and policy explanations.
- Event Coordination: Support HR-related events and team engagement activities.
- Process Improvement: Identify and suggest improvements to HR processes to enhance efficiency and employee experience.
- HR Legal Compliance: Ensure all HR practices comply with relevant laws and regulations.
- Administrative Support: Maintain an organized workspace, manage personnel records, and handle data entry.
Minimum Requirements
- Bachelor's degree in relevant field of study and 10+ years of relevant professional experience required
Job-Specific Minimum Requirements:
- Education: Minimum of Bachelor's degree in Human Resource Management
- Experience: 7+ years of HR Leadership with global presence; experience with HR systems a...
....Read more...
Type: Permanent Location: Fort Smith, US-AR
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:10
-
- Partner with senior business leaders and executives to define and execute HR strategies that align with business goals, driving organizational performance and operational effectiveness.
- Provide thought leadership on key HR initiatives, advising leadership on best practices related to workforce planning, organizational design, and leadership development.
- Leverage data to guide talent and performance decisions, enhancing the organization's ability to attract, develop, and retain top talent.
- Foster a collaborative, high-impact HR team culture focused on delivering results and supporting the business's strategic goals.
- Continuously evaluate and improve HR programs, policies, and practices to ensure they meet the evolving needs of the business and comply with legal and regulatory requirements.
- Align with key HR stakeholder leaders to assess intersectionality of initiatives, address current and/or anticipated challenges, and maintain transparency.
- Serve as a trusted advisor, influencing business decisions through a deep understanding of business operations, industry trends, and HR analytics, while also advising on complex business issues.
- Lead and develop a team of HR professionals, setting clear expectations, providing coaching, and ensuring the team is aligned with business goals and equipped to execute HR initiatives effectively.
Job-Specific Essential Duties and Responsibilities:
- Frontline HR Support: Provide a single point of contact team, greet and assist candidates and family members with HR inquiries, providing accurate guidance on leave options, eligibility, career opportunities, talent acquisition processes, job requirements, and other HR policies.
- Self-Service Assistance: Offer "white glove" support using HR systems, mobile apps, and other self-service tools to help team members manage their HR needs independently if they choose.
- Employee Onboarding: Manage the onboarding process, including orientation, documentation, and integration into the team.
- Recruitment Process Management: Support the recruitment process, including candidate follow-up, scheduling interviews, and coordinating with hiring managers.
- Leave Management: Assist with leave requests, approvals, and policy explanations.
- Event Coordination: Support HR-related events and team engagement activities.
- Process Improvement: Identify and suggest improvements to HR processes to enhance efficiency and employee experience.
- HR Legal Compliance: Ensure all HR practices comply with relevant laws and regulations.
- Administrative Support: Maintain an organized workspace, manage personnel records, and handle data entry.
Minimum Requirements
- Bachelor's degree in relevant field of study and 10+ years of relevant professional experience required
Job-Specific Minimum Requirements:
- Education: Minimum of Bachelor's degree in Human Resource Management
- Experience: 7+ years of HR Leadership with global presence; experience with HR systems a...
....Read more...
Type: Permanent Location: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:09
-
- Partner with senior business leaders and executives to define and execute HR strategies that align with business goals, driving organizational performance and operational effectiveness.
- Provide thought leadership on key HR initiatives, advising leadership on best practices related to workforce planning, organizational design, and leadership development.
- Leverage data to guide talent and performance decisions, enhancing the organization's ability to attract, develop, and retain top talent.
- Foster a collaborative, high-impact HR team culture focused on delivering results and supporting the business's strategic goals.
- Continuously evaluate and improve HR programs, policies, and practices to ensure they meet the evolving needs of the business and comply with legal and regulatory requirements.
- Align with key HR stakeholder leaders to assess intersectionality of initiatives, address current and/or anticipated challenges, and maintain transparency.
- Serve as a trusted advisor, influencing business decisions through a deep understanding of business operations, industry trends, and HR analytics, while also advising on complex business issues.
- Lead and develop a team of HR professionals, setting clear expectations, providing coaching, and ensuring the team is aligned with business goals and equipped to execute HR initiatives effectively.
Job-Specific Essential Duties and Responsibilities:
- Frontline HR Support: Provide a single point of contact team, greet and assist candidates and family members with HR inquiries, providing accurate guidance on leave options, eligibility, career opportunities, talent acquisition processes, job requirements, and other HR policies.
- Self-Service Assistance: Offer "white glove" support using HR systems, mobile apps, and other self-service tools to help team members manage their HR needs independently if they choose.
- Employee Onboarding: Manage the onboarding process, including orientation, documentation, and integration into the team.
- Recruitment Process Management: Support the recruitment process, including candidate follow-up, scheduling interviews, and coordinating with hiring managers.
- Leave Management: Assist with leave requests, approvals, and policy explanations.
- Event Coordination: Support HR-related events and team engagement activities.
- Process Improvement: Identify and suggest improvements to HR processes to enhance efficiency and employee experience.
- HR Legal Compliance: Ensure all HR practices comply with relevant laws and regulations.
- Administrative Support: Maintain an organized workspace, manage personnel records, and handle data entry.
Minimum Requirements
- Bachelor's degree in relevant field of study and 10+ years of relevant professional experience required
Job-Specific Minimum Requirements:
- Education: Minimum of Bachelor's degree in Human Resource Management
- Experience: 7+ years of HR Leadership with global presence; experience with HR systems a...
....Read more...
Type: Permanent Location: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:08
-
Essential Duties and Responsibilities:
- Provides customer service for basic and routine inquiries and problems via multiple possible channels (i.e.
telephone, emails, web chats, or written letters).
- Calls are basic and routine.
- Uses computerized system for tracking, information gathering, and/or troubleshooting.
- Provides feedback when needed, provide input on call trends, processes, procedures, and training.
- May respond to customer inquiries by referring them to published materials, secondary sources, or more senior staff.
- Provide timely responses to telephone inquiries in a courteous and professional manner, using pre-scripted responses
- Follow policies and standard operating procedures such as filling out timesheets, adhering to privacy and HIPAA rules
- Utilize standard technology such as telephone, e-mail, and web browser to perform job duties
- Assist caller(s) with filling out online applications and submitting electronically to plan provider for processing
- Complete basic call log related to the phone inquiries such as clicking radio buttons to confirm which scripts were read to the caller
- Refer calls as required to CSR Lead
- Maintain up-to-date knowledge of client regulations and policies
- Report problems that occur via the online system so they can be addressed by the appropriate parties
Minimum Requirements
- High School diploma or equivalent with 6 months of customer service experience.
- Must be fluent in English and specified secondary language.
- Must be able to speak and read Spanish fluently
- Ability to work within established turnaround times
- Must have excellent interpersonal skills and the ability to organize simultaneous tasks
- Ability to work as a member of a team
- Regular and predictable attendance is required
- Must participate and certify in internal CCO training to begin this role.
- Medicare will be expected to participate in and certify in internal Tier I Claims Part A, Claims Part B, and Claims DME training at a later date to complete your Tier I training for this role.
- May be required to work overtime and scheduled holidays.
- Working on-site at our office location is a key requirement for this position.
Being physically present at the worksite is essential for effective collaboration, communication, and supervision.
Applicants must be able to perform their duties on-site and meet attendance requirements.
Remote or at-home work options are not available for this role until completion of at least one year of employment with above-average performance, based on specified program criteria and at the company's discretion.
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
For positions on this contract, Maximus will pay the prevailing wage rate for the loca...
....Read more...
Type: Permanent Location: Riverview, US-FL
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:08
-
Essential Duties and Responsibilities:
- Provides customer service for basic and routine inquiries and problems via multiple possible channels (i.e.
telephone, emails, web chats, or written letters).
- Calls are basic and routine.
- Uses computerized system for tracking, information gathering, and/or troubleshooting.
- Provides feedback when needed, provide input on call trends, processes, procedures, and training.
- May respond to customer inquiries by referring them to published materials, secondary sources, or more senior staff.
- Provide timely responses to telephone inquiries in a courteous and professional manner, using pre-scripted responses
- Follow policies and standard operating procedures such as filling out timesheets, adhering to privacy and HIPAA rules
- Utilize standard technology such as telephone, e-mail, and web browser to perform job duties
- Assist caller(s) with filling out online applications and submitting electronically to plan provider for processing
- Complete basic call log related to the phone inquiries such as clicking radio buttons to confirm which scripts were read to the caller
- Refer calls as required to CSR Lead
- Maintain up-to-date knowledge of client regulations and policies
- Report problems that occur via the online system so they can be addressed by the appropriate parties
Minimum Requirements
- High School diploma or equivalent with 6 months of customer service experience.
- Must be able to speak and read English clearly, professionally and fluently.
- Ability to work within established turnaround times
- Must have excellent interpersonal skills and the ability to organize simultaneous tasks
- Ability to work as a member of a team
- Must participate and certify in internal CCO training to begin this role.
- Medicare will be expected to participate in and certify in internal Tier I Claims Part A, Claims Part B, and Claims DME training later to complete your Tier I am training for this role.
- May be required to work overtime and scheduled holidays.
- Working on-site at our office location is a key requirement for this position.
Being physically present at the worksite is essential for effective collaboration, communication, and supervision.
Applicants must be able to perform their duties on-site and meet attendance requirements.
Remote or at-home work options are not available for this role until completion of at least one year of employment with above-average performance, based on specified program criteria and at the company's discretion.
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
For positions on this contract, Maximus will pay the prevailing wage rate for the location in which the employee is working, as determined by the Department of Labor.
That wage ...
....Read more...
Type: Permanent Location: Tampa, US-FL
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:07
-
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
- Mileage reimbursed for travel to locations outside of your assigned central location in Santa Cruz
- 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
#CAHCO #LI-Onsite #TrendingJobs #maxcorp #HotJobs0630LI #HotJobs0630FB #HotJobs0630X #HotJobs0630TH #TrendingJobs #c0rejobs #CoreCSR
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...
....Read more...
Type: Permanent Location: Santa Cruz, US-CA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:05
-
Essential Duties and Responsibilities:
- Coordinate and process intake referrals received via incoming calls, voicemail, email, or other designated channels.
- Respond to inquiries, provide general program information, and refer clients or providers to appropriate agencies or resources in accordance with established guidelines.
- Perform initial eligibility screening for services using defined criteria and procedures.
- Review and screen applications and supporting documentation for completeness and accuracy.
- Enter, update, and maintain application, intake, and case information in applicable databases and systems.
- Research, verify, and document information by accessing approved internal or external systems, including government agency systems as applicable.
- Contact customers or providers to obtain missing or incomplete information related to applications or documentation.
- Coordinate with internal staff or field resources, including site visit personnel, to collect and verify required information or results.
- Assist customers in accessing services aligning with specific program objectives including educational and vocational training, medical support, childcare, transportation, mental health services, legal aid and related needs
- Determine urgency and sensitivity of incoming matters and route or escalate appropriately.
- Support outreach and engagement activities by assisting customers through defined phases of the application, enrollment, or service process.
Minimum Requirements
- High school diploma or GED required and 0-6 months of relevant professional experience required, or equivalent combination of education and experience.
- Reliable transportation and valid automobile insurance
- Valid CA Driver's License
- Knowledge of the local community
- Willing and able to travel throughout local counties as needed
- Mileage reimbursed for any travel to locations other than your assigned home base office location!
- 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
#CAHCO #maxPriority #LI-Onsite #TrendingJobs #CoreCSR
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 c...
....Read more...
Type: Permanent Location: San Francisco, US-CA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:04
-
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 #maxPriority #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 cont...
....Read more...
Type: Permanent Location: San Jose, US-CA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:04
-
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: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:03
-
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: Spokane, US-WA
Salary / Rate: Not Specified
Posted: 2026-07-18 09:43:02
-
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: 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: 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: 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: 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: 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: 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
