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Data Scientist in Auburn Hills, MI (on-site)

Job

Tata Consultancy Services

Orion charter Township, MI (In Person)

Full-Time

Posted 3 days ago (Updated 1 day ago) • Actively hiring

Expires 7/1/2026

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Job Description

Data Scientist in Auburn Hills, MI (on-site) at Tata Consultancy Services Data Scientist in Auburn Hills, MI (on-site) at Tata Consultancy Services in Lake Orion, Michigan Posted in about 16 hours ago.
Type:
full-time
Job Description:
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, TensorFlow, or PyTorch
  • Solid foundation in statistics, probability, hypothesis testing, and experimental design
  • Experience working with large-scale enterprise datasets Roles & Responsibilities Data Science & Analytics
  • 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 Stakeholder & Delivery Engagement
  • 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 Generic Managerial Skills, If any
  • 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 Education Bachelors