Data Scientist 3

About the role

Sentar is proud to be an employee-owned company, fostering a culture of empowerment, collaboration, and innovation. Sentar is dedicated to developing the critical talent that the connected world demands to create solutions to address the convergence of cybersecurity, intelligence, analytics, and systems engineering. We invite you to join the team where you can build, innovate, and secure your career.

Responsibilities

• Proficient in Python, GM, and the customer toolset.
• Leverage computer science expertise to develop and sustain analytics tools.
• Possess a combination (2 or more) of the following skill 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 consideration
• Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications‑specific knowledge.
• Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method to 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 in National Agency data holdings.
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and assist others with drawing appropriate conclusions from the analysis of such data.
• Effectively communicate complex technical information to non‑technical audiences.

Qualifications

• Clearance Level: TS/SCI with active poly.
• Education: Bachelor’s Degree with 10 years of relevant experience, or Associates degree with 12 years of experience may be considered for individuals with in‑depth experience clearly related to the position. Bachelor’s degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science, or a degree in a related field (Computer Information Systems, Engineering), or a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (behavioral, social, or life) if it includes a concentration of coursework (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 requirement, or upper‑level math courses designated as elementary or basic do not count. Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• Experience: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high‑level language, e.g., 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.

Benefits

• Voluntary Medical, Dental, Vision, with Health Savings or Flexible Spending Plan options.
• Voluntary Life, Critical Illness, Accident, and Long Term Care insurance options.
• Group Term Life, Short‑Term and Long‑Term Disability is provided by Sentar to all qualifying employees.
• Generous 401(k) match.
• Competitive PTO plan that graduates quickly with years of service.
• Other leave programs; holiday schedule along with bereavement, maternity, jury and military duty.
• Mental health awareness programs.
• Tuition reimbursement.
• Professional development reimbursement.
• Recognition and Awards programs.
• Employee ownership is the foundation of our culture, promoting participation, teamwork, and accountability while ensuring long‑term financial security and a commitment to excellence.