We are looking for an experienced Data Scientist / AI Specialist with strong expertise in Palantir Foundry and Palantir AIP to support the development and deployment of enterprise AI and advanced analytics solutions.
La preghiamo di verificare di possedere il livello di esperienza e le qualifiche adeguate leggendo la panoramica completa di questa opportunità qui sotto.
Key Responsibilities
Palantir Foundry & AIP Enablement
* Use Palantir Foundry to integrate, curate, and model structured and unstructured enterprise data
* Operationalize data science and machine learning solutions using Foundry pipelines, ontology, and applications
* Leverage Palantir AIP to support AI-enabled use cases such as decision support tools, copilots, and LLM-assisted workflows
* Implement Retrieval-Augmented Generation (RAG) patterns to ground AI outputs in enterprise data
* Collaborate with platform and engineering teams to deploy solutions with the appropriate governance, security, and compliance controls
* Perform Root Cause Analysis (RCA) on data quality issues, model behavior, and workflow outcomes within the Foundry/AIP ecosystem
* Support customer adoption by clearly explaining analytical logic, assumptions, and model limitations in business terms
Required Qualifications
* 5+ years of experience in Data Science, Advanced Analytics, or Applied Machine Learning
* Strong hands-on experience with exploratory data analysis, statistical modeling, and root cause analysis
* Proficiency in Python and SQL
* Experience with machine learning libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch
* Solid xjrgpwk understanding of statistics, probability, and experimental design
* Experience working with large-scale enterprise datasets
* Hands-on experience with Palantir Foundry; exposure to Palantir AIP is strongly preferred
* Experience in customer-facing or consulting environments with multiple stakeholders
* Excellent communication skills with the ability to explain complex analytical concepts clearly to business users
Engagement Details
* Location: Full Remote