Data Scientist in Auburn Hills, MI; on-site

Data Scientist in Auburn Hills, MI (on-site) Must Have Technical/Functional Skills

• 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, Tensor Flow, or Py Torch
• Solid foundation in statistics, probability, hypothesis testing, and experimental design
• Experience working with large‑scale enterprise datasets

• 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
• Use Palantir Foundry to integrate, curate, and model structured and unstructured enterprise data
• Implement Retrieval‑Augmented Generation (RAG) patterns where applicable
• Troubleshoot data quality, model behavior, and workflow issues

• Work closely with stakeholders in customer‑facing and consulting environments
• Clearly articulate analytical logic, assumptions, and limitations to business and technical audiences
• Support adoption and value realization of analytics and AI solutions

• Strong analytical and problem‑solving skills
• Excellent communication and stakeholder management capabilities
• Ability to work independently and collaboratively in cross‑functional teams
• Structured thinking and outcome‑oriented mindset