Data Scientist

Data Scientist

Location: Auburn Hills, MI

Duration: Fulltime

Job Description:

• 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