Jr. Data Scientist — Patuxent River, MD

Job Family

Data Science Consulting

Travel Required

Up to 10%

Clearance Required

Active Secret

What You Will Do

• Design, develop, and implement advanced analytical models, predictive forecasting solutions, and AI/ML capabilities that support Navy readiness, operational optimization, and mission assurance objectives.

• Lead the development of data analytics products, dashboards, and visualization tools that transform complex data into actionable insights for executives, operational leaders, and stakeholders.

• Apply statistical analysis, machine learning, data mining, and predictive modeling techniques to assess trends, identify risks, optimize resource allocation, and improve decision-making processes.

• Collaborate with data engineers, architects, business analysts, and government stakeholders to define requirements, validate analytical approaches, and deliver data-driven recommendation.

• Evaluate emerging analytics technologies, methodologies, and AI/ML capabilities to enhance enterprise data solutions and support digital modernization initiatives.

What You Will Need

• An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance

• Bachelor's degree in Data Science, Analytics, Statistics, Computer Science, Applied Mathematics, Operations Research, or a related field.

• ONE (1) or more years of experience developing data analytics solutions, statistical models, machine learning algorithms, or advanced analytical products in a professional environment.

• Experience with Python, SQL, Jupyter Notebook, Databricks, R, or similar analytics and data science tools used for data preparation, modeling, and visualization.

What Would Be Nice To Have

• Master's degree in Data Science, Analytics, Statistics, Computer Science, Applied Mathematics, Operations Research, or a related field.

• Experience supporting Department of Defense, U.S. Navy, federal government, or mission-focused analytics programs involving readiness reporting, workforce analytics, or operational optimization.

• Experience developing AI/ML solutions, including predictive analytics, optimization models, natural language processing, anomaly detection, or decision-support tools.

• Familiarity with enterprise analytics platforms such as Advana, Databricks, Azure Data Services, Power BI, Tableau, Qlik, or Microsoft Power Platform.

• Experience leading analytic workstreams, mentoring junior analysts or data scientists, and presenting technical recommendations to senior leadership and executive stakeholders.

The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer

s4xAxUGVVp offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits Include

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement, Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

About s4xAxUGVVp

s4xAxUGVVp is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

s4xAxUGVVp will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

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