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Lead Palantir AI and Data Science Engineer II - Deloitte
Data Scientist
Lead the design and delivery of secure, automated data pipelines and analytics solutions on Palantir Foundry, leveraging Python, SQL, AWS, and machine learning to drive enterprise transformation and measurable client impact.
About the role
Key Responsibilities
- Design, develop, and maintain scalable, secure data pipelines from authoritative source systems into a centralized analytics environment on Palantir Foundry.
- Collaborate with cross‑functional teams to translate business requirements into robust data models, dashboards, and machine learning workflows.
- Implement best practices for data quality, governance, and performance optimization across the data lifecycle.
- Mentor and lead a small team of data engineers and data scientists, ensuring high‑quality code and timely delivery.
- Advise clients on data strategy, architecture, and emerging AI/ML technologies to accelerate innovation and business outcomes.
Requirements
- 5+ years of experience in data engineering and data science, with a strong focus on pipeline development and analytics.
- Proficiency in Python, SQL, and AWS services (S3, Glue, Redshift, Lambda).
- Hands‑on experience with Palantir Foundry or similar data integration platforms.
- Solid understanding of machine learning concepts, model deployment, and performance monitoring.
- Excellent communication skills and a proven ability to lead technical initiatives in a client‑facing environment.
Skills
pythonsqlawsmachine learning