Applied Data Scientist

Ford • Dearborn, MI

4d • Hybrid

About The Position

As an Applied Data Scientist within the Advanced Driver Assist Systems (ADAS) domain, you will leverage connected vehicle, diagnostic, and warranty data to (1) enhance ADAS feature performance and (2) predict, identify, and root-cause high warranty costs. In this dual role, you will architect complex data products and Machine Learning models as well as develop AI tools, such as RAG and Text-to-SQL Code Gen/Code Execution products. You will work directly with industry-leading ADAS technologies, including BlueCruise hands-free driving.

Requirements

• Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related Engineering field.
• Minimum 3+ years of professional experience in Data Science, Machine Learning, or Data Engineering.
• Proficiency in Python and advanced SQL for data manipulation and analysis.
• 2+ years of hands-on experience working with large-scale datasets in a cloud environment (preferably GCP/BigQuery).
• Proven experience building, training, and running inference on Machine Learning models to solve real-world problems.
• Ability to perform "Data Fusion" by joining and cleaning disparate, multi-domain datasets.
• Experience creating data visualizations or dashboards using tools such as PowerBI, Looker Studio, or Superset.
• 1+ years of experience with Generative AI technologies, specifically building RAG pipelines and Text-to-SQL or Code-Generation applications.
• Strong ability to translate business requirements from Subject Matter Experts (SMEs) into technical data collection and analysis plans.

Nice To Haves

• Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field.
• 5+ years of professional experience, with a track record of delivering end-to-end data products in a corporate or industrial setting.
• 2+ years of experience with Generative AI technologies, specifically building RAG pipelines and Text-to-SQL or Code-Generation applications.
• Experience building interactive data/AI apps using the Python ecosystem (e.g., Chainlit, Streamlit, or Dash).
• Background in ADAS, vehicle telematics, diagnostics, or automotive warranty/quality data.
• Experience working with environmental or spatial data sources such as road/lane geometry and weather data.

Responsibilities

• Define and manage data collection requirements for the ADAS organization, addressing both field issues and the development of innovative new features.
• Collaborate with Ford’s Connected Vehicle Data Enablement (CVDE) team to implement custom data collection strategies.
• Analyze large-scale datasets in GCP using BigQuery (SQL) and Python.
• Develop data products and Machine Learning models by fusing multi-domain sources, including CVDE data, warranty claims, customer verbatims, weather, and road/lane geometry.
• Execute ML model inference and perform sensitivity analysis on data products to develop a deep understanding of the data.
• Democratize insights across the organization through automated “Push Analytics.”
• Build Text-to-SQL and code-generation/execution AI tools to enable “Custom Pull Analytics,” allowing Subject Matter Experts (SMEs) to retrieve bespoke insights.
• Develop interactive AI/ML applications using the Python ecosystem (e.g., Chainlit, Dash, or Streamlit) and design dashboards in Superset, PowerBI, or Looker Studio for standardized reporting.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level