td>| Duties: | Responsible for the exploration, aggregation, transformation, and cleansing of vehicle data across a variety of disparate sources and platforms, ensuring data integrity and consistency at scale; design, implement, and continuously optimize advanced predictive machine learning models to drive accurate and actionable business forecasts, leveraging complex datasets; architect, develop, and maintain high-performance APIs in Python, ensuring seamless integration with diverse data ecosystems while adhering to best practices for scalability and security; support efforts to streamline and automate the data pipeline, encompassing data acquisition, feature engineering, model development, and deployment workflows, optimizing for performance, efficiency, and scalability; coordinate and execute complex ad-hoc data analysis tasks, providing rapid, data-driven insights for immediate business needs; provide mission-critical on-call support to ensure the continued operation of business production systems, troubleshooting and resolving issues with minimal impact to operations; utilize and apply knowledge of Python, SQL, Scikit-learn, XGBoost, Prophet, ARIMA, RESTful APIs, GCP, Terraform, Docker, VBA, and ODBC to complete assignments; translate complex analytical findings into clear, actionable insights; utilize cutting-edge Natural Language Processing (NLP) techniques to extract valuable insights from large volumes of unstructured text data, integrating AI-driven solutions to deliver sophisticated data analysis that directly impacts automotive operations and strategic initiatives; apply advanced statistical methodologies including Regression Analysis, Bayesian Inference, and machine learning-based forecasting techniques, to model and predict complex variables like market incentives, inventory management, sales forecasting, and operational performance; provide data-driven insights to optimize production strategies and facilitate high-level decision-making; leverage Cloud Computing platforms (primarily GCP) to architect and scale infrastructure for processing, storing, and analyzing massive automotive datasets; deploy data science solutions that integrate seamlessly with manufacturing and operational environments to drive efficiency, accuracy, and business intelligence; and present models and results to stakeholders, including business executives, to influence strategic decision-making. Education: Master’s – Data Science, Computer Science, Computer Engineering, Systems Engineering, or in a related field of study (will accept equivalent foreign degree); Training: None; Experience: One (1) year in the position above, as a Data Analyst, Data Engineer, as a Data Engineering Specialist, or in a related occupation; Other Requirements: Experience must include one (1) year use of all the following: Python, SQL, Scikit-learn, XGBoost, Prophet, ARIMA, RESTful APIs, GCP, Terraform, Docker, VBA, and ODBC.Auburn Hills, MI30+ days ago This role is ideal for someone who can operate at both the strategic and technical levels: designing decision frameworks, influencing cross-functional partners, and building models that materially improve cost, service, and resilience. Deep experience with predictive modeling (statistical, ML, deep learning), optimization techniques (LP, MIP, constraint programming), and simulation methods (Monte Carlo, discrete event). Auburn Hills, MI30+ days ago Priorities can change in a fast-paced environment like ours, so this role includes but is not limited to the following responsibilities: • Technical Leadership & Strategy • Advanced Analytics & Modeling • Data & Platform Architecture • Experimentation & Product Impact • Knowledge Sharing & Influence. In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers as they embrace electrification, connectivity, autonomous driving, and shared ownership. In addition to base pay and bonus eligibility, this role includes clear forms of additional compensation, such as: A monthly Connectivity Plus stipend of $150 to support remote work-related expenses. Responsible for designing evaluation frameworks, testing methodologies, and telemetry analysis for agentic systems, with working knowledge of LangChain and LangGraph to support and enhance engineering efforts. Auburn Hills, MI30+ days ago You will partner with data engineering, AI engineering, and business stakeholders to translate problems into deployable solutions-delivering decision signals that are embedded into operational workflows, planning systems, and agentic experiences. As a Supply Chain Data Scientist, you'll develop predictive, prescriptive, optimization, anomaly detection, and simulation models that improve cost, service, and resilience across planning, logistics, and operations. Southfield, MI30+ days ago This role will work across business functionssuch as Manufacturing, Supply Chain, Finance, Engineering, etc. to deliver scalable analytics, predictive models, and AI solutions that drive operational efficiency, quality, and business performance. JOB SUMMARY: Under moderate supervision, the Data Scientist applies advanced statistical, machine learning, and artificial intelligence techniques to solve complex business problems across the enterprise. As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable insights that reduce cost of care and improve population health outcomes for our payer clients. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Auburn Hills, MI30+ days ago Perform EDA to identify trends, patterns, anomalies, and key business drivers in complex datasets. Apply statistical modeling, causal analysis, and hypothesis testing to validate insights and outcomes. Auburn Hills, MI30+ days ago The Commercial Analytics team is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power marketing performance measurement while promoting data science best practices, actionable recommendations and a high bar for model quality and reliability.Data scientists ... p>This is a strong fit for someone who wants to be a hands-on senior individual contributor: someone who can independently own analytics for a product pillar, initially focusing on the highest-priority products within that pillar, influence roadmaps through data, and help build strong analytical habits within a growing team. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Our Employee Resource Groups, Women in Energy (WE), Minority Advisory Panel (MAP), Pride Alliance of Consumers Energy (PACE), GENERGY, capABLE, Interfaith and Veterans Advisory Panel (VAP) are key enablers to living the values of our company culture: Caring, Empowered, Deliberate, Agility, and Ownership. Guided by our Digital First strategy, we harness modern technical practices and agile methodologies to ensure data and insights are accessible, reliable, and actionable, enabling evidence-based decision-making, operational efficiency, and innovation across the organization. In this position, you will leverage large-scale datasets-including telematics, warranty claims, manufacturing logs, and sensor data-to predict product life cycles, identify failure modes, and drive proactive engineering improvements. Education: Master's Degree in Data Science, Statistics, Reliability Engineering, Systems Engineering, or a related quantitative field (or a Bachelor's Degree in a related field with 5+ years of equivalent professional experience). Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance function-modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact. Our PEPI CFO Services practice includes the following pillar of services: • Strategic Finance and Liquidity Management • Accounting Advisory and Financial Reporting Solutions • Working Capital Optimization • Digital Finance Transformation • Interim Management. Departmental Preferences: Intermediate ability to identify, evaluate, and integrate generative AI tools (e.g., AI coding assistants, chat-based models) into team workflows to enhance software development, analytics, documentation, and overall productivity, while maintaining code quality, security, and adherence to engineering best practices. Demonstrated experience establishing and enforcing team-level generative AI guidelines, including coaching staff on responsible use, ensuring all AI‑generated code and content is thoroughly reviewed, validated, and understood before adoption, and maintaining compliance with corporate GenAI and data governance policies. |