Data Scientist Advisor (POTFF)

Description & Requirements

Maximus is seeking a Data Scientist Advisor to provide advanced data science and analytical support that enhances the mission readiness, performance, and resilience of Special Operations Forces (SOF) personnel.

This position supports the analysis and interpretation of complex human performance data to identify trends, generate actionable insights, and inform evidence-based decision-making as part of an integrated human performance team.

The Data Scientist Advisor collaborates with multidisciplinary professionals to develop data-driven solutions and enhance the effectiveness of programs supporting Service Members and supported populations.

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

This position is pending upon contract award.

Candidates should be willing to support POTFF Operations at one of the following locations: Florida City, FL, Homestead, FL, Riverview, FL, Tampa, FL, Fayetteville, NC, Spring Lake, NC

About the POTFF Program

The Preservation of the Force and Family (POTFF) program supports U.S. Special Operations Forces (SOF) personnel and their families through an integrated, holistic approach to human performance, health, and readiness.

The program brings together specialized professionals across physical, psychological, cognitive, social, and spiritual performance to strengthen resilience, optimize performance, and support long-term mission readiness and career longevity.

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.

Minimum Requirements

• B.S. or B.A. in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or a related technical field required
• Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
• 5+ 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).
• 5+ 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).
• 5+ years programming skill in Python, Scala, 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.
• Master’s degree in quantitative science, social science, or a related discipline is a plus.
• 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.
• 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.

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package.

Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience.

An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process—including accessing job postings, completing assessments, or participating in interviews,—please contact People Operations at [email protected].