Data Scientist

Maximus; Riverview (FL); Vor Ort; USD 90.000 - 129.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) match

Paid time off

Tuition reimbursement

Life Insurance

Zusammenfassung

Maximus is seeking a Data Scientist to support the POTFF program. This role applies advanced analytics, statistics, and data visualization to improve readiness, performance, resilience, and well-being of SOF personnel and families.

You will convert complex operational and health data into practical insights to inform evidence-based decisions and strengthen POTFF outcomes. This position requires U.S. citizenship and an active security clearance or eligibility.

Qualifikationen

• Bachelor's degree in a relevant field and 3+ years of experience.
• Advanced degree preferred in CS, analytics, or related field.
• 1+ years with ML frameworks and big data tools.
• U.S. citizenship and ability to obtain/maintain security clearance.

Aufgaben

• Perform hands-on data analysis and modeling with large datasets.
• Apply ML, NLP, and data mining to improve personalization.
• Collaborate with product and engineering to design experiments.
• Develop model-ready data by discovering, cleaning, and feature creation.
• Run A/B tests and report results to stakeholders.
• Explore new technologies to enhance customer benefits.

Kenntnisse

Data analysis

Statistics

NLP

Machine learning

Experiment design

Data visualization

Communication

Leadership

Agile

Problem solving

Ausbildung

Bachelor's degree in data science / CS / stats

Advanced degree preferred

Tools

Python

Scala

Julia

Scikit-learn

PyTorch

TensorFlow

Keras

Hadoop

SQL

Spark

Snowflake

AWS

Azure

GCP

SageMaker

Databricks

PowerBI

Jobbeschreibung

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.

General information

• Date: Wednesday, October 28, 2026
• City: Riverview
• State: FL
• Country: United States
• Working time: Full-time

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.

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.

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:

• Tucson, AZ
• Coronado, CA
• Washington, DC
• Florida City, FL
• Homestead, FL
• Riverview, FL
• Tampa, FL
• Fayetteville, NC
• Spring Lake, NC
• Clovis, NM
• Arlington, VA

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.
• 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

• 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 Requirements

• 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 anactive Secret security clearanceand 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.
• Experience supporting government, defense, military health, or human performance programs.
• Experience developing automated dashboards, predictive models, or decision-support tools.
• 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.
• Experience: Experience with government or defense-related data projects is preferred.

#MAXHP #maxcleared #SPC26

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 [e-mail].

Minimum Salary

$ 90,400.00

Maximum Salary

$ 129,400.00