Senior Data Scientist

Steampunk • ,

20d • $120,000 - $180,000

About The Position

We are seeking a Senior Data Scientist to lead the design, development, and deployment of advanced analytical models and machine learning solutions that drive mission and business impact. This role requires deep expertise in statistical modeling, feature engineering, ML experimentation, and applied problem solving. The Senior Data Scientist will lead project workstreams, guide modeling strategy, mentor junior team members, and partner with engineering, product, and mission stakeholders to translate analytical insights into actionable outcomes. You will contribute to the growth of our AI & Data Exploitation Practice!

Requirements

• Ability to hold a position of public trust with the U.S. government.
• Bachelor’s, Master’s, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 5+ years of experience designing, building, and deploying machine learning or advanced analytics solutions.
• Strong proficiency in Python and data science libraries (Pandas, NumPy, scikit-learn) with hands-on experience in deep learning or advanced ML frameworks (e.g., PyTorch, TensorFlow, XGBoost).
• Proven ability to lead data science workstreams and mentor junior practitioners.
• Experience using SQL and working with structured, semi-structured, or unstructured datasets at scale.
• Familiarity with cloud platforms (AWS, Azure, GCP) and modern ML development environments (Databricks, SageMaker, Azure ML Studio).
• Strong grounding in statistics, probability, experimental design, and model validation methodologies.
• Effective communication skills with the ability to explain highly technical concepts to non-technical audiences.
• Experience collaborating with product teams, engineers, and mission stakeholders to define and deliver data-driven solutions.
• Understanding of responsible AI principles, including fairness, explainability, bias mitigation, and reproducibility.

Nice To Haves

• Preferred certifications: AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer, Databricks Machine Learning Professional.

Responsibilities

• Lead end-to-end development of predictive and analytical models, including problem framing, hypothesis development, data exploration, feature engineering, model training, and model evaluation.
• Architect and implement advanced ML techniques such as ensemble models, deep learning, natural language processing, time-series models, or anomaly detection as appropriate for mission needs.
• Conduct rigorous model diagnostics, error analysis, and explainability studies to ensure reliability, fairness, and transparency.
• Collaborate with Data Engineers and MLOps/LLMOps teams to operationalize models, including pipeline automation, monitoring, drift detection, and retraining strategies.
• Translate complex model outputs into clear insights, stories, and recommendations for technical and non-technical audiences, including executives and mission stakeholders.
• Partner with cross-functional teams—including product, UX, and domain SMEs—to define requirements, refine model behavior, and incorporate human-centered design principles into analytical workflows.
• Lead experimentation cycles, evaluating new modeling approaches, algorithms, and data sources to continuously improve solution performance.
• Ensure high-quality, reproducible work through documentation, code reviews, version control, experiment tracking, and adherence to engineering best practices.
• Mentor Associate and mid-level Data Scientists, providing guidance on modeling techniques, coding practices, and project execution.
• Stay current on modern machine learning techniques, cloud-native analytics tools, and emerging trends in data science to shape strategy and elevate team capabilities.

Benefits

• As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree