-
Essential Duties and Responsibilities:
- Collaborate with project staff, client office personnel, and community agencies to address and resolve project-related issues effectively.
- Deliver public speaking sessions and educational programs to community agencies and local office staff.
- Engage actively in community health fairs and conduct group presentations aligned with the project's promotion.
- Report concerns, problems, and issues to the Leadership promptly.
- Supervise and oversee the activities of Outreach Client Service Representatives.
- Maintain a professional demeanor representing the organization and advocating for the program.
- Distribute program materials to diverse community groups.
- Exceed established performance objectives while ensuring compliance with company Wage & Hour policies, including the provision of rest and meal breaks for non-exempt employees.
- Adhere strictly to all company policies, procedures, and mandated training.
Additional Essential Duties and Responsibilities:
- Peer Support and Counseling Networks: Organize and oversee peer support networks for assigned commands; recruit active duty and family member peer support counselors; and ensure counselors are vetted and trained in accordance with USSOCOM CRC standards.
- Program Assessment and Reporting: Collect, document, and report program/service needs, activity data, and evaluation results to support formative and outcome evaluations of peer support and community-based programs.
- Data Collection: Collect original and secondary-source data to support program assessments, including information from focus groups, unit meetings, POTFF Family Resilience Program evaluations, and trend information from POTFF psychologists, chaplains, ombudsmen, or Family Readiness Group staff.
- Command Support: Support commands at multiple levels and locations; serve as the Commander's liaison for community and family support matters; and communicate on behalf of the Command using approved and vetted media or social media.
- Needs-Based Programming: Develop programming tailored to specific demographic groups, geographic locations, and identified community needs.
- Resource Expertise: Maintain extensive knowledge of DoW resources, including Military OneSource, Military Family Life Counselors, Personal Financial Counselors, and the Military Crisis Line.
- Coordination and Outreach: Lead or support CRC official processes, functions, and networking opportunities for supported populations, including family orientation, information, outreach, referrals, deployment preparation, reintegration, decompression, and family relational enhancement activities.
- Service Member and Family Programs: Conduct or contribute to single Service member enhancement activities and unit-level career transition programs for military members and spouses.
- Resilience and Behavioral Health Awareness: Conduct or contribute to Social and Family and Psychological Program implementation, includi...
....Read more...
Type: Permanent Location: Fort Smith, US-AR
Salary / Rate: Not Specified
Posted: 2026-09-12 09:42:06
-
Essential Duties and Responsibilities:
- Collaborate with project staff, client office personnel, and community agencies to address and resolve project-related issues effectively.
- Deliver public speaking sessions and educational programs to community agencies and local office staff.
- Engage actively in community health fairs and conduct group presentations aligned with the project's promotion.
- Report concerns, problems, and issues to the Leadership promptly.
- Supervise and oversee the activities of Outreach Client Service Representatives.
- Maintain a professional demeanor representing the organization and advocating for the program.
- Distribute program materials to diverse community groups.
- Exceed established performance objectives while ensuring compliance with company Wage & Hour policies, including the provision of rest and meal breaks for non-exempt employees.
- Adhere strictly to all company policies, procedures, and mandated training.
Additional Essential Duties and Responsibilities:
- Peer Support and Counseling Networks: Organize and oversee peer support networks for assigned commands; recruit active duty and family member peer support counselors; and ensure counselors are vetted and trained in accordance with USSOCOM CRC standards.
- Program Assessment and Reporting: Collect, document, and report program/service needs, activity data, and evaluation results to support formative and outcome evaluations of peer support and community-based programs.
- Data Collection: Collect original and secondary-source data to support program assessments, including information from focus groups, unit meetings, POTFF Family Resilience Program evaluations, and trend information from POTFF psychologists, chaplains, ombudsmen, or Family Readiness Group staff.
- Command Support: Support commands at multiple levels and locations; serve as the Commander's liaison for community and family support matters; and communicate on behalf of the Command using approved and vetted media or social media.
- Needs-Based Programming: Develop programming tailored to specific demographic groups, geographic locations, and identified community needs.
- Resource Expertise: Maintain extensive knowledge of DoW resources, including Military OneSource, Military Family Life Counselors, Personal Financial Counselors, and the Military Crisis Line.
- Coordination and Outreach: Lead or support CRC official processes, functions, and networking opportunities for supported populations, including family orientation, information, outreach, referrals, deployment preparation, reintegration, decompression, and family relational enhancement activities.
- Service Member and Family Programs: Conduct or contribute to single Service member enhancement activities and unit-level career transition programs for military members and spouses.
- Resilience and Behavioral Health Awareness: Conduct or contribute to Social and Family and Psychological Program implementation, includi...
....Read more...
Type: Permanent Location: Los Angeles, US-CA
Salary / Rate: Not Specified
Posted: 2026-09-12 09:42:06
-
Essential Duties and Responsibilities:
- Collaborate with project staff, client office personnel, and community agencies to address and resolve project-related issues effectively.
- Deliver public speaking sessions and educational programs to community agencies and local office staff.
- Engage actively in community health fairs and conduct group presentations aligned with the project's promotion.
- Report concerns, problems, and issues to the Leadership promptly.
- Supervise and oversee the activities of Outreach Client Service Representatives.
- Maintain a professional demeanor representing the organization and advocating for the program.
- Distribute program materials to diverse community groups.
- Exceed established performance objectives while ensuring compliance with company Wage & Hour policies, including the provision of rest and meal breaks for non-exempt employees.
- Adhere strictly to all company policies, procedures, and mandated training.
Additional Essential Duties and Responsibilities:
- Peer Support and Counseling Networks: Organize and oversee peer support networks for assigned commands; recruit active duty and family member peer support counselors; and ensure counselors are vetted and trained in accordance with USSOCOM CRC standards.
- Program Assessment and Reporting: Collect, document, and report program/service needs, activity data, and evaluation results to support formative and outcome evaluations of peer support and community-based programs.
- Data Collection: Collect original and secondary-source data to support program assessments, including information from focus groups, unit meetings, POTFF Family Resilience Program evaluations, and trend information from POTFF psychologists, chaplains, ombudsmen, or Family Readiness Group staff.
- Command Support: Support commands at multiple levels and locations; serve as the Commander's liaison for community and family support matters; and communicate on behalf of the Command using approved and vetted media or social media.
- Needs-Based Programming: Develop programming tailored to specific demographic groups, geographic locations, and identified community needs.
- Resource Expertise: Maintain extensive knowledge of DoW resources, including Military OneSource, Military Family Life Counselors, Personal Financial Counselors, and the Military Crisis Line.
- Coordination and Outreach: Lead or support CRC official processes, functions, and networking opportunities for supported populations, including family orientation, information, outreach, referrals, deployment preparation, reintegration, decompression, and family relational enhancement activities.
- Service Member and Family Programs: Conduct or contribute to single Service member enhancement activities and unit-level career transition programs for military members and spouses.
- Resilience and Behavioral Health Awareness: Conduct or contribute to Social and Family and Psychological Program implementation, includi...
....Read more...
Type: Permanent Location: Little Rock, US-AR
Salary / Rate: Not Specified
Posted: 2026-09-12 09:42:05
-
Essential Duties and Responsibilities:
- Collaborate with project staff, client office personnel, and community agencies to address and resolve project-related issues effectively.
- Deliver public speaking sessions and educational programs to community agencies and local office staff.
- Engage actively in community health fairs and conduct group presentations aligned with the project's promotion.
- Report concerns, problems, and issues to the Leadership promptly.
- Supervise and oversee the activities of Outreach Client Service Representatives.
- Maintain a professional demeanor representing the organization and advocating for the program.
- Distribute program materials to diverse community groups.
- Exceed established performance objectives while ensuring compliance with company Wage & Hour policies, including the provision of rest and meal breaks for non-exempt employees.
- Adhere strictly to all company policies, procedures, and mandated training.
Additional Essential Duties and Responsibilities:
- Peer Support and Counseling Networks: Organize and oversee peer support networks for assigned commands; recruit active duty and family member peer support counselors; and ensure counselors are vetted and trained in accordance with USSOCOM CRC standards.
- Program Assessment and Reporting: Collect, document, and report program/service needs, activity data, and evaluation results to support formative and outcome evaluations of peer support and community-based programs.
- Data Collection: Collect original and secondary-source data to support program assessments, including information from focus groups, unit meetings, POTFF Family Resilience Program evaluations, and trend information from POTFF psychologists, chaplains, ombudsmen, or Family Readiness Group staff.
- Command Support: Support commands at multiple levels and locations; serve as the Commander's liaison for community and family support matters; and communicate on behalf of the Command using approved and vetted media or social media.
- Needs-Based Programming: Develop programming tailored to specific demographic groups, geographic locations, and identified community needs.
- Resource Expertise: Maintain extensive knowledge of DoW resources, including Military OneSource, Military Family Life Counselors, Personal Financial Counselors, and the Military Crisis Line.
- Coordination and Outreach: Lead or support CRC official processes, functions, and networking opportunities for supported populations, including family orientation, information, outreach, referrals, deployment preparation, reintegration, decompression, and family relational enhancement activities.
- Service Member and Family Programs: Conduct or contribute to single Service member enhancement activities and unit-level career transition programs for military members and spouses.
- Resilience and Behavioral Health Awareness: Conduct or contribute to Social and Family and Psychological Program implementation, includi...
....Read more...
Type: Permanent Location: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-09-12 09:42:04
-
Essential Duties and Responsibilities:
- Collaborate with project staff, client office personnel, and community agencies to address and resolve project-related issues effectively.
- Deliver public speaking sessions and educational programs to community agencies and local office staff.
- Engage actively in community health fairs and conduct group presentations aligned with the project's promotion.
- Report concerns, problems, and issues to the Leadership promptly.
- Supervise and oversee the activities of Outreach Client Service Representatives.
- Maintain a professional demeanor representing the organization and advocating for the program.
- Distribute program materials to diverse community groups.
- Exceed established performance objectives while ensuring compliance with company Wage & Hour policies, including the provision of rest and meal breaks for non-exempt employees.
- Adhere strictly to all company policies, procedures, and mandated training.
Additional Essential Duties and Responsibilities:
- Peer Support and Counseling Networks: Organize and oversee peer support networks for assigned commands; recruit active duty and family member peer support counselors; and ensure counselors are vetted and trained in accordance with USSOCOM CRC standards.
- Program Assessment and Reporting: Collect, document, and report program/service needs, activity data, and evaluation results to support formative and outcome evaluations of peer support and community-based programs.
- Data Collection: Collect original and secondary-source data to support program assessments, including information from focus groups, unit meetings, POTFF Family Resilience Program evaluations, and trend information from POTFF psychologists, chaplains, ombudsmen, or Family Readiness Group staff.
- Command Support: Support commands at multiple levels and locations; serve as the Commander's liaison for community and family support matters; and communicate on behalf of the Command using approved and vetted media or social media.
- Needs-Based Programming: Develop programming tailored to specific demographic groups, geographic locations, and identified community needs.
- Resource Expertise: Maintain extensive knowledge of DoW resources, including Military OneSource, Military Family Life Counselors, Personal Financial Counselors, and the Military Crisis Line.
- Coordination and Outreach: Lead or support CRC official processes, functions, and networking opportunities for supported populations, including family orientation, information, outreach, referrals, deployment preparation, reintegration, decompression, and family relational enhancement activities.
- Service Member and Family Programs: Conduct or contribute to single Service member enhancement activities and unit-level career transition programs for military members and spouses.
- Resilience and Behavioral Health Awareness: Conduct or contribute to Social and Family and Psychological Program implementation, includi...
....Read more...
Type: Permanent Location: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-09-12 09:42:04
-
Essential Duties and Responsibilities:
- Collaborate with project staff, client office personnel, and community agencies to address and resolve project-related issues effectively.
- Deliver public speaking sessions and educational programs to community agencies and local office staff.
- Engage actively in community health fairs and conduct group presentations aligned with the project's promotion.
- Report concerns, problems, and issues to the Leadership promptly.
- Supervise and oversee the activities of Outreach Client Service Representatives.
- Maintain a professional demeanor representing the organization and advocating for the program.
- Distribute program materials to diverse community groups.
- Exceed established performance objectives while ensuring compliance with company Wage & Hour policies, including the provision of rest and meal breaks for non-exempt employees.
- Adhere strictly to all company policies, procedures, and mandated training.
Additional Essential Duties and Responsibilities:
- Peer Support and Counseling Networks: Organize and oversee peer support networks for assigned commands; recruit active duty and family member peer support counselors; and ensure counselors are vetted and trained in accordance with USSOCOM CRC standards.
- Program Assessment and Reporting: Collect, document, and report program/service needs, activity data, and evaluation results to support formative and outcome evaluations of peer support and community-based programs.
- Data Collection: Collect original and secondary-source data to support program assessments, including information from focus groups, unit meetings, POTFF Family Resilience Program evaluations, and trend information from POTFF psychologists, chaplains, ombudsmen, or Family Readiness Group staff.
- Command Support: Support commands at multiple levels and locations; serve as the Commander's liaison for community and family support matters; and communicate on behalf of the Command using approved and vetted media or social media.
- Needs-Based Programming: Develop programming tailored to specific demographic groups, geographic locations, and identified community needs.
- Resource Expertise: Maintain extensive knowledge of DoW resources, including Military OneSource, Military Family Life Counselors, Personal Financial Counselors, and the Military Crisis Line.
- Coordination and Outreach: Lead or support CRC official processes, functions, and networking opportunities for supported populations, including family orientation, information, outreach, referrals, deployment preparation, reintegration, decompression, and family relational enhancement activities.
- Service Member and Family Programs: Conduct or contribute to single Service member enhancement activities and unit-level career transition programs for military members and spouses.
- Resilience and Behavioral Health Awareness: Conduct or contribute to Social and Family and Psychological Program implementation, includi...
....Read more...
Type: Permanent Location: Mobile, US-AL
Salary / Rate: Not Specified
Posted: 2026-09-12 09:42:03
-
Essential Duties and Responsibilities:
- Collaborate with project staff, client office personnel, and community agencies to address and resolve project-related issues effectively.
- Deliver public speaking sessions and educational programs to community agencies and local office staff.
- Engage actively in community health fairs and conduct group presentations aligned with the project's promotion.
- Report concerns, problems, and issues to the Leadership promptly.
- Supervise and oversee the activities of Outreach Client Service Representatives.
- Maintain a professional demeanor representing the organization and advocating for the program.
- Distribute program materials to diverse community groups.
- Exceed established performance objectives while ensuring compliance with company Wage & Hour policies, including the provision of rest and meal breaks for non-exempt employees.
- Adhere strictly to all company policies, procedures, and mandated training.
Additional Essential Duties and Responsibilities:
- Peer Support and Counseling Networks: Organize and oversee peer support networks for assigned commands; recruit active duty and family member peer support counselors; and ensure counselors are vetted and trained in accordance with USSOCOM CRC standards.
- Program Assessment and Reporting: Collect, document, and report program/service needs, activity data, and evaluation results to support formative and outcome evaluations of peer support and community-based programs.
- Data Collection: Collect original and secondary-source data to support program assessments, including information from focus groups, unit meetings, POTFF Family Resilience Program evaluations, and trend information from POTFF psychologists, chaplains, ombudsmen, or Family Readiness Group staff.
- Command Support: Support commands at multiple levels and locations; serve as the Commander's liaison for community and family support matters; and communicate on behalf of the Command using approved and vetted media or social media.
- Needs-Based Programming: Develop programming tailored to specific demographic groups, geographic locations, and identified community needs.
- Resource Expertise: Maintain extensive knowledge of DoW resources, including Military OneSource, Military Family Life Counselors, Personal Financial Counselors, and the Military Crisis Line.
- Coordination and Outreach: Lead or support CRC official processes, functions, and networking opportunities for supported populations, including family orientation, information, outreach, referrals, deployment preparation, reintegration, decompression, and family relational enhancement activities.
- Service Member and Family Programs: Conduct or contribute to single Service member enhancement activities and unit-level career transition programs for military members and spouses.
- Resilience and Behavioral Health Awareness: Conduct or contribute to Social and Family and Psychological Program implementation, includi...
....Read more...
Type: Permanent Location: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-09-12 09:42:02
-
Essential Duties and Responsibilities:
- Collaborate with project staff, client office personnel, and community agencies to address and resolve project-related issues effectively.
- Deliver public speaking sessions and educational programs to community agencies and local office staff.
- Engage actively in community health fairs and conduct group presentations aligned with the project's promotion.
- Report concerns, problems, and issues to the Leadership promptly.
- Supervise and oversee the activities of Outreach Client Service Representatives.
- Maintain a professional demeanor representing the organization and advocating for the program.
- Distribute program materials to diverse community groups.
- Exceed established performance objectives while ensuring compliance with company Wage & Hour policies, including the provision of rest and meal breaks for non-exempt employees.
- Adhere strictly to all company policies, procedures, and mandated training.
Additional Essential Duties and Responsibilities:
- Peer Support and Counseling Networks: Organize and oversee peer support networks for assigned commands; recruit active duty and family member peer support counselors; and ensure counselors are vetted and trained in accordance with USSOCOM CRC standards.
- Program Assessment and Reporting: Collect, document, and report program/service needs, activity data, and evaluation results to support formative and outcome evaluations of peer support and community-based programs.
- Data Collection: Collect original and secondary-source data to support program assessments, including information from focus groups, unit meetings, POTFF Family Resilience Program evaluations, and trend information from POTFF psychologists, chaplains, ombudsmen, or Family Readiness Group staff.
- Command Support: Support commands at multiple levels and locations; serve as the Commander's liaison for community and family support matters; and communicate on behalf of the Command using approved and vetted media or social media.
- Needs-Based Programming: Develop programming tailored to specific demographic groups, geographic locations, and identified community needs.
- Resource Expertise: Maintain extensive knowledge of DoW resources, including Military OneSource, Military Family Life Counselors, Personal Financial Counselors, and the Military Crisis Line.
- Coordination and Outreach: Lead or support CRC official processes, functions, and networking opportunities for supported populations, including family orientation, information, outreach, referrals, deployment preparation, reintegration, decompression, and family relational enhancement activities.
- Service Member and Family Programs: Conduct or contribute to single Service member enhancement activities and unit-level career transition programs for military members and spouses.
- Resilience and Behavioral Health Awareness: Conduct or contribute to Social and Family and Psychological Program implementation, includi...
....Read more...
Type: Permanent Location: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-09-12 09:42:02
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-09-12 09:42:01
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-09-12 09:42:00
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-09-12 09:42:00
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:59
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:59
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:58
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:57
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Spokane, US-WA
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:57
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:53
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:50
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:49
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:49
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:48
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:47
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:47
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Lubbock, US-TX
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:46
-
Essential Duties and Responsibilities:
- Perform hands-on data analysis and modeling with huge data sets.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."
- Create and refine features from the underlying data.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
-Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
-Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
-Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
-Support survey design, administration, analysis, and interpretation to inform program improvements.
-Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
-Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
-Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
-Perform other duties as assigned.
Minimum Requirements
- Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
- 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
- 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
- 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- 1+ years programming skill in Python, Scala, or Julia.
- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
- Experience deploying ML models into discovery/production envir...
....Read more...
Type: Permanent Location: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2026-09-12 09:41:43
