Data Scientist (Remote)

Responsibilities

The Data Scientist will apply advanced analytics and machine learning to improve the readiness and performance of Special Operations Forces personnel. Responsibilities include cleaning and integrating complex datasets, developing predictive models, and presenting actionable insights to stakeholders.

Requirements

Candidates must have a bachelor's degree and at least 3 years of relevant experience, with a preference for advanced degrees in technical fields. An active U.S. Government Secret security clearance and U.S. citizenship are mandatory requirements.

Skills

• Data analysis
• Machine learning
• Deep learning
• Python
• Statistical analysis
• Data visualization
• SQL
• Cloud platforms
• Data mining
• NLP
• Predictive modeling
• Big data analytics
• Survey design
• Data engineering
• Dashboard development
• Communication

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Prescription plans
• Health Savings Account
• Life insurance
• Auto insurance discounts
• Home insurance discounts
• Renters insurance discounts
• Pet insurance discounts
• 401(k) retirement savings plan
• Paid time off
• Paid holidays
• Extended sick leave
• Short-term disability coverage
• Long-term disability coverage
• Employee assistance program
• Tuition reimbursement
• Licensure and certification support

About this role

DESCRIPTION & REQUIREMENTS

Maximus is seeking a Data Scientist to support the Preservation of the Force and Family (POTFF) program. This position applies advanced analytics, statistical methods, and data visualization to improve the readiness, performance, resilience, and long-term well-being of Special Operations Forces personnel and their families. 

In this role, you will convert complex operational and health data into practical insights that support evidence-based decisions and strengthen POTFF program outcomes. Your work will help advance mission readiness, resilience, and sustained performance across the Special Operations community. 

U.S. citizenship is required. Candidates must possess an active U.S. Government Secret security clearance or be eligible to obtain and maintain a Secret security clearance as required for contract performance. This position is pending upon contract award.

Why Maximus?

⚖️ Flexibility That Fits Your Life – Work/life balance support with flexibility designed to meet your personal and professional needs.

🏥 Robust Health & Insurance Benefits – Choose from a variety of Medical, Dental, Vision, and 

Prescription plans, plus a partially funded HSA. You’ll also have access to Life Insurance and discounts on Auto, Home, Renters, and Pet Insurance.

💰 Build Your Financial Future – Take advantage of our 401(k) Retirement Savings Plan with Company Match to help you plan for what's ahead.

🌴 Generous Time Away From Work – Recharge with PTO, paid holidays, extended sick leave, and Short and Long Term Disability coverage.

💙 Wellness Beyond the Workplace – Access resources that support your physical, emotional, and financial well-being through our Employee Assistance Program (EAP).

👏 Recognition That Matters – Celebrate achievements and recognize colleagues through our employee recognition platform.

🎓 Invest in Your Growth – Continue your education and professional development with Tuition Reimbursement opportunities.

🎁 Employee Discounts & Perks – Enjoy exclusive savings, special offers, and additional employee-only benefits.

🌿 Wellness Programs & Resources – Explore a variety of programs and tools designed to support your overall health and wellness.

📈 Career Development Opportunities – Enhance your skills through training programs, workshops, conferences, and ongoing learning opportunities.

📜 Licensure & Certification Support – Maximus covers the costs associated with renewing required licenses and certifications.

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 environment to drive insights using MLOps a plus.

• Experience working in an agile delivery model a plus.

• 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.

• PowerBI experience a plus.

Job Specific Requir...

About Maximus

Outsourcing and Offshoring Consulting · 1,001-5,000 employees · headquartered in London · founded 2008