Data Scientist, Level 1

Location: Fort Meade, Maryland, USA

This position requires all candidates to be U.S. Citizens and possess an active TS/SCI Security Clearance with a Polygraph.

About the role

We’re seeking a Data Scientist who turns complex data into clear, actionable insight. In this role, you will design and prototype machine learning, statistical, graph-based, and data-mining algorithms to analyze diverse datasets. You’ll compare candidate models with rigorous performance metrics, build experiments or synthetic datasets when real data is limited, and translate findings into concise reports and visualizations for customers. Working closely with subject matter experts, you’ll convert manual analyses into automated analytics and implement prototype algorithms within production frameworks so insights flow directly into analyst workflows. Join us to shape decisions with data—grow your expertise, build production-grade analytics, and accelerate your career at the intersection of AI and mission impact.

Responsibilities

• Produce data visualizations that provide insight into dataset structure and meaning.
• Collaborate with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs).
• Incorporate SME input into feature vectors suitable for analytic development and testing.
• Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
• Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
• Develop statistical tests to make data-driven recommendations and decisions.

Qualifications

Required Education & Years of Experience:

• Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, and engineering or computer science) from an accredited college or university, and four (4) years of experience analyzing datasets and developing analytics and two (2) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
• A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience analyzing datasets and developing analytics, and one (1) year of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.
• In lieu of a Bachelor’s Degree, an additional four (4) years of relevant experience may be substituted for a total of eight (8) years of relevant experience analyzing datasets and developing analytics, and two (2) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

Benefits

• Health Insurance: Comprehensive medical, dental, and vision plans.
• Retirement Plan: 401(k) with company match.
• Paid Time Off: Generous PTO policy including vacation, sick leave, and holidays.
• Professional Development: Opportunities for training, certifications, and career advancement.
• Work-Life Balance: Flexible work schedules and remote work options.
• Wellness Programs: Employee assistance programs, wellness initiatives, and gym membership discounts.

Pay

Salary Range: $138,200 to $152,000 per year. Starting salary is based on minimum education and years of experience and increases based on education and/or experience.

Why Join Us?

• Career Growth: Take advantage of professional development opportunities and career advancement. As a vital part of impactful projects, you will have the chance to drive innovation and shape the future of government systems engineering.
• Supportive Environment: Work in a collaborative and flexible environment that values work-life balance. Join a team of top-tier professionals and engage in dynamic, cross-functional collaboration. Your strategic mindset and proactive approach will be highly valued and supported.
• Competitive Compensation: Enjoy a competitive salary and comprehensive benefits package. We recognize and reward your expertise and dedication to excellence.