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Data ScientistArtechUnited States
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Data Scientist

Artech
  • US
    United States
  • US
    United States

Über

Job ID : 87795-1 Job Title : Data Scientist Location : Auburn Hills, MI Duration : 6 months + possible extension Rate Range: $35 - $40/hour on W2/ C2C (All inclusive)
Introduction
This role involves working on-site and has 4 openings. The position requires a strong background in data science, particularly with Palantir Foundry and AIP.
Required Skills & Qualifications Deep hands-on experience with Palantir Foundry (Pipelines, Code Repos, Ontology, Workshop, Quiver) Strong experience with Palantir AIP including AI workflows, agents, and decision intelligence and AI-enabled use cases Experience integrating LLMs within Palantir AIP for enterprise use cases Experience operationalizing ML models within Foundry Strong hands-on experience in Exploratory Data Analysis (EDA) and Root Cause Analysis (RCA) Expertise in Machine Learning techniques: classification, regression, clustering, and time-series forecasting Proficiency in Python and SQL Experience with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch Solid foundation in statistics, probability, hypothesis testing, and experimental design Experience working with large-scale enterprise datasets Prior work experience at client or in client's Industry Applicants must be able to work directly for Artech on W2
Preferred Skills & Qualifications
Experience in customer-facing and consulting environments Excellent communication and stakeholder management capabilities Ability to work independently and collaboratively in cross-functional teams Day-to-Day Responsibilities
Perform EDA to identify trends, patterns, anomalies, and key business drivers in complex datasets Conduct RCA to diagnose operational, business, and performance issues using data-driven techniques Design, build, and deploy machine learning models for predictive and prescriptive analytics Apply statistical modeling, causal analysis, and hypothesis testing to validate insights and outcomes Execute feature engineering, model evaluation, and performance tuning to ensure robust solutions Design and analyze experiments and A/B tests to measure business impact Implement Retrieval-Augmented Generation (RAG) patterns where applicable Troubleshoot data quality, model behavior, and workflow issues Company Benefits & Culture
Supportive and collaborative work environment Opportunities for professional growth and development Comprehensive benefits package
For immediate consideration please click APPLY to begin the screening process with Alex.
  • United States

Sprachkenntnisse

  • English
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