Senior Data Scientist

PTF Consulting • Fort Worth, TX

13d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level