Description
We're looking for a Senior Data Scientist to join our Global Data Insight & Analytics team at Ford Motor Company. As a Senior Data Scientist, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals.
In this position, you will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product-driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value.
You will interact with business partners in Cost efficiency analytics to align with their needs and processes to ensure relevancy of products. Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week.
Responsibilities:
- Designing, training, and fine-tuning AI models (including Deep learning and LLMs) to solve specific business problems.
- Familiar with LLM orchestration workflows like Crew.ai, Langraph, Google ADK for quick development and scaling strategies to build robust pipelines.
- Transitioning models from research environments to production, often by converting them into APIs or integrating them into existing software applications.
- Building and maintaining the infrastructure for AI development, data pipelines, and automated workflows.
- Collaborating with data scientists to define AI strategies, understand requirements, and implement solutions.
- Testing, validating and monitoring AI models in production scale to ensure reliability.
- Staying current with AI advancements (e.g., Generative AI, LLMs) and applying them to improve existing products.
Additionally, you will:
- Accelerate the application of value-added analytics and machine learning into the portfolio of products for CEA.
- Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods.
- Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams.
- Work hands-on with the team and other partners to deliver solutions that meet our customers' requirements and needs.
- Act as a consultant to the business vs. an order taker.
- Balance 'doing it right' with 'speed to delivery' by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt.