-
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: Columbus, US-GA
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:47
-
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: Tallahassee, US-FL
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:46
-
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: Boise, US-ID
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:45
-
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: Atlanta, US-GA
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:41
-
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: Tampa, US-FL
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:37
-
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: Jacksonville, US-FL
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:36
-
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: Hartford, US-CT
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:36
-
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: Bridgeport, US-CT
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:31
-
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: Dover, US-DE
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:27
-
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: Miami, US-FL
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:27
-
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: Wilmington, US-DE
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:26
-
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: Sacramento, US-CA
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:25
-
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: Colorado Springs, US-CO
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:21
-
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: Los Angeles, US-CA
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:17
-
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: San Francisco, US-CA
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:16
-
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: Denver, US-CO
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:16
-
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: San Diego, US-CA
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:15
-
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: Little Rock, US-AR
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:15
-
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: Fort Smith, US-AR
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:14
-
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: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:13
-
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: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:08
-
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: Mobile, US-AL
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:05
-
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: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:04
-
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.
Essential Duties and Responsibilities
-Conduct advanced data analytics, data manipulation, data mining, exploratory analysis, predictive analysis, and statistical analysis.
-Apply scientific techniques to translate and correlate data into graphical, written, visual, and verbal narratives that support informed decision-making.
-Enter, maintain, and analyze data within government systems.
-Develop and maintain dashboards that automate analysis and identify, interpret, and present trends in POTFF program data.
-Assist POTFF staff with survey design and create, analyze, and report survey results.
-Advise supported units and POTFF staff on opportunities and methods for capturing data related to POTFF programs and initiatives.
-Collaborate with POTFF program staff and the Government's POTFF biostatistician.
-Provide subject matter expertise in program evaluation, research methodologies, and data analysis.
-Use statistical modeling and data visualization techniques to identify trends, outliers, and patterns and produce reports and presentations that accurately communicate mission-relevant findings.
Minimum Requirements:
-Master's degree in quantitative science, social science, or a related discipline.
-Three or more years of research experience in an academic, social services, government, healthcare, or laboratory setting.
-Advanced proficiency with Microsoft Office applications, including Word, Excel, and Access.
-Advanced proficiency with commonly used statistical software and programming tools, such as SPSS, SAS, Python, and R Shiny.
-Demonstrated advanced research proficiency through relevant employment in academia or another environment where research is routinely conducted.
-Demonstrated record of scientific publications.
-Ability to read, write, and speak English fluently and clearly to communicate effectively with all personnel.
-Excellent verbal, written, interpersonal, and presentation skills, with strong attention to detail.
-Demonstrated initiative, interpersonal effectiveness, and cultural awareness when working constructively with individuals from diverse backgrounds.
Active Secret clearance and...
....Read more...
Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:03
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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.
Essential Duties and Responsibilities
-Conduct advanced data analytics, data manipulation, data mining, exploratory analysis, predictive analysis, and statistical analysis.
-Apply scientific techniques to translate and correlate data into graphical, written, visual, and verbal narratives that support informed decision-making.
-Enter, maintain, and analyze data within government systems.
-Develop and maintain dashboards that automate analysis and identify, interpret, and present trends in POTFF program data.
-Assist POTFF staff with survey design and create, analyze, and report survey results.
-Advise supported units and POTFF staff on opportunities and methods for capturing data related to POTFF programs and initiatives.
-Collaborate with POTFF program staff and the Government's POTFF biostatistician.
-Provide subject matter expertise in program evaluation, research methodologies, and data analysis.
-Use statistical modeling and data visualization techniques to identify trends, outliers, and patterns and produce reports and presentations that accurately communicate mission-relevant findings.
Minimum Requirements:
-Master's degree in quantitative science, social science, or a related discipline.
-Three or more years of research experience in an academic, social services, government, healthcare, or laboratory setting.
-Advanced proficiency with Microsoft Office applications, including Word, Excel, and Access.
-Advanced proficiency with commonly used statistical software and programming tools, such as SPSS, SAS, Python, and R Shiny.
-Demonstrated advanced research proficiency through relevant employment in academia or another environment where research is routinely conducted.
-Demonstrated record of scientific publications.
-Ability to read, write, and speak English fluently and clearly to communicate effectively with all personnel.
-Excellent verbal, written, interpersonal, and presentation skills, with strong attention to detail.
-Demonstrated initiative, interpersonal effectiveness, and cultural awareness when working constructively with individuals from diverse backgrounds.
Active Secret clearance and...
....Read more...
Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-10-13 11:27:03
