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Palantir aip & foundry data scientist (masera' di padova)

Maserà di Padova
agap2 Italia
Data scientist
Pubblicato il Pubblicato 23h fa
Descrizione

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.

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 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

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