Data Scientist

Responsibilities:

Solution Building: Configure, customize, and build new applications using Palantir Foundry to address specific client needs.
Emphasis on strong communication skills, executive communication, ability to apply hands-on skills to solve real-world business problems, and strategic advisory.
Data Transformation: Wrangling massive datasets, implementing AI/LLM solutions, and driving measurable business outcomes.
End-to-End Ownership: Manage projects from conception to successful delivery, ensuring quality and impact.
Technical & Soft Skills: Apply strong software engineering skills (Python, Java, Scala, TypeScript/React, etc.), data analysis, client communication, and independent problem-solving skills to design and implement systems, using MLOps, Kubernetes, PySpark, and data visualization, pulling from Palantir's out-of-the-box tools to turn vast data into actionable insights for critical enterprise operations.
Broad Skillset: Presents a blend of software development, data engineering, and strategic advisory skills.
Team Composition: Work in small, agile teams, demonstrating initiative and thriving in high-impact environments.

Working Language: English

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