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Data Scientist / Advanced Analytics Specialist
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Tata Consultancy Services
Auburn Hills, MI (In Person)
$102,500 Salary, Full-Time
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Job Description
Data Scientist / Advanced Analytics Specialist Auburn Hills, MI Job Details $90,000 - $115,000 a year 21 hours ago Benefits Commuter assistance Health insurance Dental insurance Vision insurance Pet insurance Qualifications TensorFlow Performance tuning Computer Science Hypothesis testing PyTorch SQL Analysis skills Outlier detection Bachelor's degree XGBoost Model deployment Feature extraction Statistical modeling Forecasting Experimental design Regression analysis Predictive analytics A/B testing Data science Root cause analysis Clustering Machine learning libraries Senior level AI Cross-functional collaboration Bachelor's degree in computer science Model evaluation Machine learning frameworks Communication skills Project stakeholder communication Cross-functional communication Stakeholder management Database software proficiency Full Job Description 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