onsite
AI and Data Science Engineer - Deloitte
Data Scientist
Design and implement secure, automated data pipelines and analytics solutions using Palantir Foundry, Python, and cloud services to drive enterprise transformation and measurable client impact.
About the role
Key Responsibilities
- Design, develop, and maintain secure, automated data pipelines that ingest data from authoritative source systems into a centralized analytics environment.
- Build scalable analytics products and data models using Palantir Foundry, Python, and SQL to support enterprise‑wide decision making.
- Collaborate with cross‑functional teams—including data scientists, architects, and business analysts—to translate business requirements into technical solutions.
- Implement best practices for data governance, security, and performance optimization in cloud environments (AWS/GCP).
- Develop and operationalize machine‑learning models and advanced analytics workflows that deliver measurable client outcomes.
Requirements
- Bachelor’s or higher in Computer Science, Engineering, Data Science, or a related field.
- 3+ years of hands‑on experience building data pipelines and analytics solutions, preferably with Palantir Foundry or similar platforms.
- Proficiency in Python, SQL, and cloud services (AWS, GCP, or Azure).
- Strong understanding of data modeling, ETL processes, and data security best practices.
- Excellent problem‑solving and communication skills, with the ability to work effectively in multidisciplinary teams.
Skills
pythonsqlmachine learningaws