Role Overview

We are seeking a Senior Data Scientist to lead advanced analytics and machine learning initiatives across large-scale, complex data environments, including enterprise data pipelines and data lake architectures. This role is both hands-on and strategic, partnering closely with Data Engineering, MLOps, and Platform teams to deliver production-grade AI capabilities in regulated domains.

The ideal candidate brings deep experience working with complex, multi-source datasets, understands the full production ML lifecycle, and can translate analytical outputs into operational, clinical, or mission-relevant decisions.

Key Responsibilities

Advanced Data Science & Modeling

• Lead the design, development, and validation of advanced statistical and machine learning models.

• Apply techniques including ensemble learning, time-series modeling, anomaly detection, and predictive analytics.

• Define evaluation strategies, performance metrics, and validation frameworks aligned to mission outcomes.

• Ensure model robustness, explainability, and responsible AI practices where required.

Complex Data Pipelines & Data Lakes

• Architect and optimize data science workflows operating on complex data pipelines and enterprise data lake platforms.

• Partner with Data Engineering to shape feature engineering strategies, feature pipelines, and scalable analytics architectures.

• Work across structured, semi-structured, unstructured, and longitudinal datasets at scale.

• Identify systemic data quality risks and guide remediation across end-to-end data flows.

Technical Leadership & Collaboration

• Serve as a senior technical contributor and mentor to mid-level and junior data scientists.

• Collaborate with ML Engineers and MLOps teams to transition models into monitored, production environments.

• Engage stakeholders to translate business, clinical, or mission needs into analytical solutions.

• Contribute to technical standards, documentation, and AI best practices.

Required Qualifications

• U.S. Citizen with an active DoD, IC, or DHS clearance, or eligibility to obtain and maintain one.

• Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field. Advanced degree preferred.

• 8–10 years of professional experience in data science, applied machine learning, or advanced analytics roles.

• Expert-level proficiency in Python and modern data science toolchains.

• Demonstrated experience working with complex data pipelines, enterprise data lakes, and high-volume datasets.

• Strong grounding in statistics, machine learning theory, and production AI considerations.

Preferred Qualifications

• Experience supporting AI, ML, or analytics initiatives in medical, biotech, bioscience, or healthcare environments.

• Familiarity working with HIPAA-regulated data, including PHI handling, de-identification, and compliance-aware analytics workflows.

• Experience operating in regulated or security-conscious environments such as healthcare, federal, defense, or public sector.

• Experience with cloud-native data and ML platforms, with Azure preferred.

• Familiarity with distributed computing frameworks and large-scale analytics systems.

• Publications, patents, or demonstrated thought leadership in applied data science or machine learning.

Benefits and Growth

• Competitive salary and comprehensive health benefits.

• 401(k) with company matching.

• Clearance sponsorship for eligible candidates.

• Advanced training, conference, and certification support.

• Opportunity to grow into Principal Data Scientist or AI Technical Leadership roles.

Equal Employment Opportunity Statement

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under applicable federal, state, or local laws.