Data Scientist

• Join Ford's Product Team and collaborate with Product Managers, Product Designers, Software Engineers, and Data Scientists
• Own the full technical lifecycle, including end-to-end development, support, and maintenance of analytic solutions
• Understand business problems and translate them into appropriate business solutions
• Drive development and delivery of analytic and statistical models through data acquisition and management, algorithm design, and model refinement
• Ensure data and solution quality throughout the analytic development process
• Interpret results and communicate insights to technical and non-technical audiences, including executive leadership
• Design and program multi-step reasoning frameworks and agentic loops using LangChain, LlamaIndex, or Haystack
• Architect advanced RAG structures using embedding models, dynamic chunking strategies, and vector indices
• Evaluate, select, and adapt Small Language Models for domain-specific agentic tasks
• Establish statistical, model-driven, and human-in-the-loop testing benchmarks
• Track accuracy drift and minimize hallucinations
• Develop token-efficient agents using context compression, prompt caching, and dynamic context windowing

• Support digital transformation and AI enablement efforts for GM Quality Connected Customer Continuous Improvement
• Listen to and frame stakeholder problems
• Create new data pipelines
• Build AI/ML solutions
• Develop user interfaces for direct decision support
• Propose and implement high-impact data-driven analytic solutions for quality teams
• Build predictive and prescriptive models and machine-learning algorithms
• Analyze diverse information to discover trends and patterns
• Preprocess structured and unstructured data
• Monitor and sustain model effectiveness
• Present complex information using data visualization and data storytelling
• Provide analytical dataset pipelines and user interfaces with diverse technical teams
• Create technical documentation for models and processes
• Create repeatable and scalable code and processes to improve development and execution efficiency

• Own the end-to-end lifecycle of complex predictive models and optimization frameworks, including scheduled updates, continuous improvement, and maintenance
• Serve as subject matter expert for analytical products, ensuring accuracy of underlying data, calculation logic, and business assumptions
• Transition analytical frameworks into production-ready assets through deployment automation, operational stability, and clean, modular, well-documented code
• Explore agentic AI and LLM-based tools to improve modeling workflows or analytical delivery
• Partner with business stakeholders to understand evolving needs and convert ambiguous business problems into well-defined analytical problems
• Communicate quantitative concepts into clear, actionable insights for technical peers and business partners
• Execute rapid-response, ad-hoc analytical requests for time-sensitive strategic decision-making
• Partner with data engineering, AI/ML engineering, and other analytics product teams within Yield Management
• Develop and maintain sophisticated modeling and optimization capabilities for vehicle pricing, incentive strategy, and portfolio risk
• Build predictive models, optimization frameworks, Python Dash applications, and run scenarios supporting strategic decisions in variable marketing and pricing

Senior Data Scientist – Go-to-Market Advanced Analytics, Yield Management

• Design and evolve Ford’s data mesh architecture across manufacturing and enterprise domains
• Define domain boundaries, data product contracts, and interoperability standards
• Establish and maintain federated computational governance policies
• Champion adoption of GCP, Vertex AI, and agentic AI/LLM orchestration
• Lead transformation of raw manufacturing-system data into curated, documented, high-quality data products
• Define and enforce data product ownership, schema versioning, quality SLAs, discoverability, and access controls
• Oversee batch and streaming ingestion, transformation, and publishing pipelines
• Design data structures and semantic layers, including ontologies and knowledge graphs, for AI agents
• Design and develop enterprise, conceptual, logical, and physical data models
• Partner with product and analytics teams on data requirements, architecture guidance, models, and design reviews
• Establish architecture principles covering catalog, lineage, observability, security, and interoperability
• Drive data quality profiling, metrics, monitoring, reporting, and remediation
• Drive adoption of GCP as the technical backbone of the data mesh and data product ecosystem
• Evaluate and implement metadata management and data catalog solutions
• Establish monitoring, observability, and SLA tracking for published data products
• Own and evolve the federated governance framework
• Implement automated policy enforcement for schema validation, access control, metadata cataloging, and lineage tracking
• Partner with cybersecurity, legal, and compliance teams to classify and protect sensitive data
• Ensure privacy and compliance by design

Senior Data Scientist / ML Engineer

• Design and deliver production-grade solutions for global supply-demand matching systems
• Develop, implement, and validate demand forecasting and predictive modeling algorithms
• Apply time-series, causal inference, and optimization techniques to demand forecasting and supply-chain efficiency
• Partner with software engineers and product owners to deliver analytics software
• Contribute to technical specifications and participate in code reviews
• Communicate analytical results to non-technical business partners
• Co-own the end-to-end development lifecycle from data sourcing and exploration through deployment
• Build and maintain scalable pipelines for model deployment and retraining
• Monitor production models for data drift, bias, and accuracy and set up proactive alerting
• Create visualizations to identify patterns and communicate market trends and supply constraints
• Research developments in data science, machine learning, and analytics tools
• Improve the efficiency, accuracy, and robustness of analytical outputs

Data Scientist jobs in Michigan

Data Scientist

Data Scientist

Senior Data Scientist – Go-to-Market Advanced Analytics, Yield Management

Senior Data Scientist / ML Engineer

Data Scientist, Production Planning