Data Scientist (Remote)

Summary

Maximus is seeking a Data Scientist to support the Preservation of the Force and Family (POTFF) program. This role involves applying advanced analytics and statistical methods to enhance the readiness and well-being of Special Operations Forces personnel and their families.

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

Skills

• Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience
• 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)
• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques
• Ability to communicate complex ideas in a clear, precise, and actionable manner
• Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners
• Bachelor's degree in data science, statistics, mathematics, computer science, or a related field
• Demonstrated experience using statistical analysis tools, database systems, and data visualization platforms
• Experience preparing, analyzing, and interpreting complex datasets
• Ability to communicate technical findings to diverse audiences
• Security: Requires an active Secret security clearance and U.S. citizenship
• Survey Design & Analysis: Assist in designing surveys, collecting, and analyzing survey data to inform program improvements
• Collaboration: Work with cross-functional teams, including biostatisticians, to develop data-driven recommendations for SOF and family support initiatives
• Technical Solutions: Develop and refine analytical methods and tools to address complex operational and health-related challenges
• Knowledge of data governance, privacy, security, and quality-control practices
• Familiarity with multidisciplinary health, performance, or readiness data
• Skills: Proficiency in data analysis tools, statistical software, database systems, and visualization platforms
• Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field
• Experience deploying ML models into discovery/production environment to drive insights using MLOps
• Experience working in an agile delivery model
• PowerBI experience
• Experience supporting government, defense, military health, or human performance programs
• Experience developing automated dashboards, predictive models, or decision-support tools
• Experience with government or defense-related data projects

Qualifications

Must Haves

• Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience
• 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)
• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques
• Ability to communicate complex ideas in a clear, precise, and actionable manner
• Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners
• Bachelor's degree in data science, statistics, mathematics, computer science, or a related field
• Demonstrated experience using statistical analysis tools, database systems, and data visualization platforms
• Experience preparing, analyzing, and interpreting complex datasets
• Ability to communicate technical findings to diverse audiences
• Security: Requires an active Secret security clearance and U.S. citizenship
• Survey Design & Analysis: Assist in designing surveys, collecting, and analyzing survey data to inform program improvements
• Collaboration: Work with cross-functional teams, including biostatisticians, to develop data-driven recommendations for SOF and family support initiatives
• Technical Solutions: Develop and refine analytical methods and tools to address complex operational and health-related challenges
• Knowledge of data governance, privacy, security, and quality-control practices
• Familiarity with multidisciplinary health, performance, or readiness data
• Skills: Proficiency in data analysis tools, statistical software, database systems, and visualization platforms

Nice to Haves

• Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field
• Experience deploying ML models into discovery/production environment to drive insights using MLOps
• Experience working in an agile delivery model
• PowerBI experience
• Experience supporting government, defense, military health, or human performance programs
• Experience developing automated dashboards, predictive models, or decision-support tools
• Experience with government or defense-related data projects

Benefits

• Work/life balance support with flexibility designed to meet your personal and professional needs.
• Choose from a variety of Medical, Dental, Vision, and Prescription plans
• Partially funded HSA
• Access to Life Insurance
• Discounts on Auto, Home, Renters, and Pet Insurance
• 401(k) Retirement Savings Plan with Company Match
• PTO
• Paid holidays
• Extended sick leave
• Short and Long Term Disability coverage
• Employee Assistance Program (EAP)
• Employee recognition platform
• Tuition Reimbursement opportunities
• Exclusive savings, special offers, and additional employee-only benefits
• Wellness programs and resources designed to support your overall health and wellness
• Training programs, workshops, conferences, and ongoing learning opportunities
• Maximus covers the costs associated with renewing required licenses and certifications
• Access resources that support your physical, emotional, and financial well-being through our Employee Assistance Program (EAP).