Data Scientist (Remote)

Maximus

16h•$90,400 - $129,400•Remote

About The Position

Maximus is seeking a Data Scientist to support the Preservation of the Force and Family (POTFF) program. The role 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. The Data Scientist turns complex operational and health data into practical insights that support evidence-based decisions and strengthen program outcomes. The position involves collecting and analyzing data from multiple sources, including the Human Performance Data Management System (HPDMS), and developing analytical methods, models, reports, and dashboards. The role collaborates with program staff, biostatisticians, clinicians, and other partners to translate findings into recommendations, while presenting results clearly and protecting sensitive information. The position is pending upon contract award. U.S. citizenship and an active Secret security clearance, or eligibility to obtain and maintain one as required for contract performance, are stated in the description; the job-specific requirements also specify an active Secret clearance.

Requirements

Bachelor’s degree in a relevant field and at least 3 years of relevant professional experience, or an equivalent combination of education and experience.
Bachelor’s degree in data science, statistics, mathematics, computer science, or a related field.
U.S. citizenship is required.
An active Secret security clearance is required in the job-specific requirements; the description also says candidates may be eligible to obtain and maintain a Secret clearance as required for contract performance.
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.
1–3+ years of professional experience applying quantitative research to optimize human decisions using machine learning and/or deep learning technologies.
At least 1 year using major machine learning or deep learning frameworks such as Scikit-learn, PyTorch, TensorFlow, and Keras, and algorithms such as CNN, GAN, LSTM, RNN, and XGBoost.
At least 1 year of data engineering experience with modern big data analytics architectures such as Hadoop, SQL, Hive, Spark, or Snowflake on major cloud platforms such as AWS, Azure, or Google Cloud.
At least 1 year of programming experience in Python, Scala, or Julia.
Working knowledge of modern cloud-based data storage and compute environments such as AWS SageMaker, Databricks in Azure, or AI Platform in GCP.
Demonstrated leadership and self-direction, and willingness to teach others and learn new techniques.
Ability to communicate complex ideas clearly, precisely, and actionably.
Excellent communication and presentation skills for conveying ideas and concepts to technical and nontechnical partners.
Experience supporting government, defense, military health, or human performance programs.
Knowledge of data governance, privacy, security, and quality-control practices.
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 machine learning models into discovery or production environments using MLOps.
Experience working in an agile delivery model.
Power BI experience.
Experience developing automated dashboards, predictive models, or decision-support tools.
Familiarity with multidisciplinary health, performance, or readiness data.
Experience with government or defense-related data projects.

Responsibilities

Perform hands-on data analysis and modeling with large datasets.
Apply data mining, natural language processing, and supervised and unsupervised machine learning to improve relevance and personalization algorithms.
Collaborate with product managers, software engineers, and designers to design experiments and minimum viable products.
Identify and access data sources, import and clean data, and prepare it for modeling.
Create and refine features from underlying data.
Run A/B tests, collect data, conduct statistical analysis, draw conclusions about optimization impacts, and communicate results to peers and leaders.
Explore design or technology shifts and assess their potential connection to customer benefits.
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 to 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 addressing operational and health-related challenges.
Present analytical findings to technical and nontechnical stakeholders while protecting sensitive information.
Perform other duties as assigned.

Benefits

Flexible work-life balance support.
Medical, dental, vision, and prescription plans, plus a partially funded HSA.
Life insurance and discounts on auto, home, renters, and pet insurance.
401(k) retirement savings plan with company match.
PTO, paid holidays, and extended sick leave.
Short- and long-term disability coverage.
Employee Assistance Program (EAP).
Employee recognition platform.
Tuition reimbursement.
Employee discounts and additional employee-only benefits.
Wellness programs and resources.
Training programs, workshops, conferences, and ongoing learning opportunities.
Coverage of costs associated with renewing required licenses and certifications.