

Data Scientist – R&D Analytics (Palantir Foundry) - Only W2 (Independent Contractor)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid-Level Data Scientist – R&D Analytics (Palantir Foundry) with a short-term W2 contract. Requires 3–5 years of data science experience, proficiency in Palantir Foundry, and strong analytical skills. Pay rate and work location are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Datasets #Data Pipeline #Predictive Modeling #Data Analysis #Data Quality #R #Data Science #Documentation #Palantir Foundry
Role description
Job Title: Data Scientist – R&D Analytics (Palantir Foundry)
Job Description:
Team: Early-Stage R&D
Platform: Palantir Foundry
Overview:
We are seeking a Mid-Level Data Scientist to join our early-stage R&D team for a short-term engagement. The ideal candidate will work closely with internal stakeholders to explore a large operational dataset using Palantir Foundry, build functional models, and deliver actionable insights. This role is exploratory in nature, with a focus on uncovering trends, testing hypotheses, and assessing the predictive potential of the data.
Key Responsibilities:
• Collaborate with internal teams to define analytical goals and exploratory paths.
• Clean, structure, and analyze complex datasets within Palantir Foundry.
• Identify trends, correlations, and meaningful data groupings.
• Build and test functional models to evaluate predictive capabilities.
• Assess data quality, completeness, and reliability.
• Determine feasibility of predictive modeling for risk or failure anticipation.
• Document and present findings in a clear, concise report.
• Deliver all models and workflows within Foundry for internal use.
Deliverables:
• Functional models and data pipelines in Palantir Foundry.
• Written summary of findings, including trends, limitations, and predictive insights.
• Strategic recommendations for future analysis or data collection.
Ideal Candidate Profile:
• 3–5 years of experience in data science or analytics.
• Proficiency in Palantir Foundry or similar data platforms.
• Strong analytical and problem-solving skills.
• Experience with exploratory data analysis and predictive modeling.
• Excellent communication and documentation abilities.
Job Title: Data Scientist – R&D Analytics (Palantir Foundry)
Job Description:
Team: Early-Stage R&D
Platform: Palantir Foundry
Overview:
We are seeking a Mid-Level Data Scientist to join our early-stage R&D team for a short-term engagement. The ideal candidate will work closely with internal stakeholders to explore a large operational dataset using Palantir Foundry, build functional models, and deliver actionable insights. This role is exploratory in nature, with a focus on uncovering trends, testing hypotheses, and assessing the predictive potential of the data.
Key Responsibilities:
• Collaborate with internal teams to define analytical goals and exploratory paths.
• Clean, structure, and analyze complex datasets within Palantir Foundry.
• Identify trends, correlations, and meaningful data groupings.
• Build and test functional models to evaluate predictive capabilities.
• Assess data quality, completeness, and reliability.
• Determine feasibility of predictive modeling for risk or failure anticipation.
• Document and present findings in a clear, concise report.
• Deliver all models and workflows within Foundry for internal use.
Deliverables:
• Functional models and data pipelines in Palantir Foundry.
• Written summary of findings, including trends, limitations, and predictive insights.
• Strategic recommendations for future analysis or data collection.
Ideal Candidate Profile:
• 3–5 years of experience in data science or analytics.
• Proficiency in Palantir Foundry or similar data platforms.
• Strong analytical and problem-solving skills.
• Experience with exploratory data analysis and predictive modeling.
• Excellent communication and documentation abilities.