Ford Pro · 21 hours ago
Data Scientist
21931 Michigan Ave, Dearborn, MI, 48124, US
Full-time
Hybrid
Mid Level
3+ years expFord Pro is committed to redefining mobility through quality data and analytics. They are seeking a Data Scientist to join their Customer Service Analytics team, focusing on the Re‑Acquired Vehicle platform to enhance insights and decision-making processes.
AutomotiveFleet ManagementSoftware
No H1B
Responsibilities
Undertake statistical modeling, predictive analytics, and insight generation for the RAV platform
Perform deep‑dive analyses on RAV vehicles to detect early indicators and recommend actions to prevent/mitigate RAV
Visualize validation results, analyses, and predictions using Power BI to deliver clear qualitative and quantitative insights
Execute quick‑turn studies for urgent business questions by mining, managing, and exploring large, high‑dimensional structured and unstructured datasets (e.g., RAV, quality, repair orders, repeat visits, parts orders/supply, service, warranty claims, recalls)
Collaborate closely with architects, project managers, data engineers, software engineers, and other data scientists to test pipelines, validate outputs, and launch new platform capabilities and insights into production for maximum business value
Communicate, present, and interpret analytical results to non‑technical audiences, cross‑functional teams, and leadership on a regular basis
Qualification
Required
Master's degree in Statistics, Data Science, Econometrics, Engineering, Physics, or a related quantitative field; or equivalent combination of education and experience
3+ years of Python experience for data manipulation, analysis, and model development
3+ years working with large, high‑dimensional structured and unstructured data, including preprocessing, cleaning, and feature engineering
1+ year experience working with Power BI. Ability to build and publish dashboards and reports; create clean visuals and basic measures; model simple datasets; and manage refresh/scheduled updates
1+ years of hands‑on experience with analytical techniques such as forecasting, regression, and machine learning (including deep learning, neural networks, and ensemble methods), including training, evaluation, and fine‑tuning
Experience using Generative AI (e.g., Gemini/LLMs) to derive insights, automate analysis, or enhance decision intelligence
Preferred
PhD or additional graduate research in a quantitative field
3+ years of experience with Google Cloud Platform (e.g., BigQuery, Vertex AI, Dataflow, Cloud Storage, Cloud SQL) and Looker Studio
5+ years of experience with Python and SQL
5+ years of experience in big data manipulation, statistical analysis, modeling, optimization, and AI/ML/LLM development
2+ Years experience in Power BI. Dimensional modeling (star schemas), DAX and Power Query/M, performance tuning, row-level security and deployment pipelines
Prior automotive industry experience involving complex quantitative analytics and modeling
Strong problem formulation and problem‑solving skills; comfortable with ambiguity
Curious, proactive, detail‑oriented; able to context switch and manage multiple priorities; fast learner in both theory and coding
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.
Company
Ford Pro
Ford Pro is a productivity accelerator designed to drive the business forward, delivering solutions to commercial customers of all sizes.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Andrew Frick
Interim Head
Recent News
2025-10-04
2025-10-01
Company data provided by crunchbase