# Data Scientist, Repair Order (RO) Duration Analytics

**Company**: Ford Motor Company
**Location**: Dearborn, MI
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $99,600-$192,900
**Category**: IT
**Industry**: Automotive
**Wikidata**: https://www.wikidata.org/wiki/Q44294

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/66402?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b8800a1f-23f

## Description

At Ford Motor Company, a global leader in the automotive industry, we're seeking a highly skilled Data Scientist to join our Repair Order (RO) Duration Analytics team within the Global Data Insight & Analytics organisation.

The successful candidate will play a crucial role in supporting business objectives and transformation through data-driven decision-making. You'll design, build, scale, and maintain RO duration forecasting and predictive models, leveraging operational and market inputs. Your responsibilities will also include establishing high standards of data quality, model governance, and validation testing; leading deep-dive and root-cause analyses on vehicles with extended repair times; executing high-impact, agile exploratory analyses; and leveraging LLMs and agentic workflows to extract intelligence from data and automate analytical workflows.

The ideal candidate will have a Master's Degree in Data Science, Statistics, Economics, Engineering, Physics, or a related quantitative field, along with 3+ years of experience in big data manipulation, statistical analysis, and optimization. Proficiency in Python and SQL, as well as experience with modern generative AI environments, is essential.

In return for your expertise, we offer a competitive salary ranging from $99,600 to $192,900, depending on skills and experience, along with a comprehensive benefits package, including immediate medical, dental, vision, and prescription drug coverage, flexible family care days, paid parental leave, and more.

## Skills

### Required
- Python
- SQL
- big data manipulation
- statistical analysis
- optimization
- machine learning
- deep learning
- forecasting
- data quality
- model governance
- validation testing
- LLMs
- agentic workflows

### Nice to have
- Ph.D. in a quantitative field
- experience with Google Cloud Platform (GCP)
- postgraduate work experience in the automotive industry
- LLM-based applications
- autonomous AI agents

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