Senior Data Scientist​/Engineer

Senior Data Scientist/Engineer

Location:

Chantilly, VA

Clearance Level: Active DoD - TS/SCI FSP

Non‑Employee Referral Bonus Eligible: $2,000

Requisition #: 1355

We are looking for a Senior Data Scientist/Engineer to join a secure, on‑site intelligence data‑analysis initiative. The role focuses on rapidly sifting through vast cyber datasets and surfacing actionable insights by designing and deploying advanced data‑science models and workflows within a cross‑functional team.

• Lead the end‑to‑end development of NLP and entity‑extraction models tailored for cyber data.
• Prototype and integrate generative AI solutions to automate insight generation.
• Assist with data‑engineering tasks, including parsing raw logs and preparing feature sets.
• Collaborate with cyber SMEs to define data‑quality standards and validation criteria.
• Translate user stories and requirements into technical specifications and test plans.
• Implement, document, and maintain Python code for reproducible data‑science workflows.
• Conduct model performance evaluations and iterate to improve accuracy and scalability.
• Present findings and demos to stakeholders, incorporating feedback into subsequent sprints.

Active U.S. security clearance at TS/SCI with Full Scope Poly.

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 4–8 years of hands‑on data‑science experience, including algorithm development and model deployment in production environments.

• Strong proficiency in Python and its data‑science ecosystem (pandas, scikit‑learn, PyTorch/Tensor Flow).
• Expertise in NLP techniques such as tokenization, named‑entity recognition, and embedding models.
• Proven ability to implement entity‑extraction pipelines.
• Familiarity with generative AI frameworks and experience with machine learning.
• Experience with data‑engineering fundamentals (ETL, data cleansing, feature engineering).
• Exceptional verbal and written communication skills; ability to distill complex concepts for non‑technical audiences.
• Demonstrated experience working with cyber or security‑related datasets.

• Experience with big‑data platforms (Spark, Hadoop) and stream processing (Kafka).
• Familiarity with cloud‑based intelligence‑community environments (AWS Gov Cloud, Azure Government).
• Knowledge of containerization (Docker) and orchestration (Kubernetes).
• Hands‑on experience with data‑visualization tools (e.g., Plotly, D3.js).

• Full‑time, on‑site at a secure government facility.
• Standard business hours with occasional extended support during demos or deployments.
• Strict adherence to all security protocols, policies, and data‑handling procedures.
• On‑site parking available.

• Stand or sit; walk; repetitive motion; use hands/fingers to handle or feel; see; push or pull; climb stairs, ladders, or balance.
• Maximum lifting of 10 lbs; occasional lift or carry of small articles.

Equal Opportunity Employer/Protected Veterans/Individuals With Disabilities.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, but final hiring decisions are made by humans. For more information on data processing, please contact us.