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Data Scientist
Job Location:
Job Location:
Auburn Hills, MI - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
29 May 2026 (30+ days ago)
Posted:
Application Deadline:
26 August 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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
