🚀 Data Scientist

Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high‑level decision makers that enhance our nation’s security.

Responsibilities

• Devise strategies for extracting meaning and value from large datasets.
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
• Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to NSA/CSS data holdings.
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
• Effectively communicate complex technical information to non-technical audiences.
• Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly‑shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations.

Qualifications

• Relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high‑level language such as Python), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
• Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (data management and curation, data description and visualization, workflow and reproducibility); Modeling, Inference, and Prediction (data modeling and assessment, domain‑specific considerations).
• A Bachelor’s degree and 3 years of relevant experience. An Associate’s degree plus 5 years of relevant experience may be considered for individuals with in‑depth experience that is clearly related to the position.
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College‑level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
• Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• Clearance: TS/SCI with polygraph.
• U.S. citizenship.

Compensation and Benefits

Typical salary range starts at $100,000 and stretches up to $180,000. Our compensation package is designed to reward talent, performance and dedication, and our culture and opportunities for impact exceed expectations.

Health & Retirement: comprehensive health benefits package, 401K retirement plan, gym wellness benefits, and access to People Partners for personal and professional development.

Education: company‑sponsored continuing education program to pursue degrees or certifications that advance your career.

Work/life balance: generous paid time off, 11 paid holidays a year, and flexible work options aligned with your schedule.

Philanthropy: annual volunteering and contributions to numerous organizations, supporting community engagement and purpose.

Corporate facilities: weekly happy hour, nearby dining options, café, collaborative office space, and conference rooms.

SkillBridge Program: leveraging military experience for corporate roles, supporting service members transition.

Synergy ECP is committed to providing equal employment opportunities to all qualified individuals. Employment decisions are based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, sex, national origin, religion, age, disability, or any other status protected by applicable law. We welcome candidates from all backgrounds and are dedicated to maintaining a professional and respectful workplace where every employee can succeed.