Data Scientist, Level 1

WOOD Federal Solutions • Fort Meade, MD

3d • $138,200 - $152,000 • Onsite

About The Position

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.

Requirements

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

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.

Benefits

• Comprehensive medical, dental, and vision plans.
• 401(k) with company match.
• Generous PTO policy including vacation, sick leave, and holidays.
• Opportunities for training, certifications, and career advancement.
• Flexible work schedules and remote work options.
• Employee assistance programs, wellness initiatives, and gym membership discounts.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level