# Senior Data Scientist (AI Specialist)

**Company**: Ford Motor Company
**Location**: Dearborn, MI
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $68,300-$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/65126?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a2d61d75-047

## Description

At Ford, you can build more than vehicles. Come build what matters.

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. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products.

**Responsibilities:**

- Model Development and Optimization: Designing, training, and fine-tuning AI models (including Deep learning and LLMs) to solve specific business problems.

- Familiar with LLM orchestration workflows like Langraph, Google ADK for quick development and scaling strategies to build robust pipelines.

- Familiar with AI Graph DB platform, use native graph query and conduct LLM extraction into actionable insights.

- Deployment and Integration: Transitioning models from research environments to production, often by converting them into APIs or integrating them into existing software applications.

- Infrastructure Management: Building and maintaining the infrastructure for AI development, data pipelines, and automated workflows.

- Collaboration: Working with data scientists to define AI strategies, understand requirements, and implement solutions.

- Performance Evaluation: Testing, validating and monitoring AI models in production scale to ensure reliability.

- Research and Innovation: Staying current with AI advancements (e.g., Generative AI, LLMs) and applying them to improve existing products.

- Accelerate the application of value-added analytics and machine learning into the portfolio of products for supplier risk team.

- 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.

**Requirements:**

- Master’s degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science or equivalent combination of relevant education and experience.

- 5+ years of hands-on experience with Python, SQL, mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis, capable at least three of the following visualization/dashboard tools: Angular, React, Tableau, looker, PowerBI.

- 3+ years of experience delivering analytics solutions.

- 3+ years of experience with Agile team methodology.

**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.

The salary range for this position is $68,300-$192,900.

## Skills

### Required
- Python
- SQL
- machine learning
- artificial intelligence
- optimization/simulation techniques
- statistical analysis
- Angular
- React
- Tableau
- looker
- PowerBI

### Nice to have
- PhD degree in quantitative fields
- neo4j development
- Product Driven Operating Model
- Agile Product Development Process
- Google Cloud Platform

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Source: [Apply at efds.fa.em5.oraclecloud.com](https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/65126?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)