Senior Data Scientist - Conversational AI & NLP

Aimlroles; Dearborn (MI); Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Paid time off and holidays

Tuition assistance

Vehicle discount program for employees

Employee resource groups

Flexible work arrangements

Job summary

Ford Motor Company, within the Integrated Services team, seeks a data-driven Data Scientist for its Digital Cabin AI assistant. The role is hybrid, enhancing IVI projects by turning raw data into actionable insights and dashboards.

You will blend ML, analytics, and product thinking to measure AI performance, run experiments, and shape data strategy from mobile apps to in-vehicle systems. Join a high-impact, cross-functional team.

Qualifications

• Master's degree in a quantitative field such as Data Science or CS.
• 7+ years of experience in Data Science, Product Analytics, or Applied ML.
• Strong full-stack analytics capabilities bridging DS, engineering and product.

Responsibilities

• NLP and utterance analysis to categorize and cluster user utterances.
• Design methodologies to evaluate AI responses and run A/B tests.
• Integrate data in GCP, clean data, and create analytical sandboxes with privacy in mind.
• Define metrics for product success and partner with PMs to drive decisions.
• Build dashboards in Looker and PowerBI for self-service analytics.
• Bridge data from mobile apps to IVI data contracts.

Skills

NLP & Utterance Analysis

SQL & BigQuery

Looker & PowerBI

Experimentation & A/B Testing

Python / R

Data Visualization

Analytics as Code

Product Analytics

Education

Master's Degree in Data Science / CS

Tools

BigQuery

GCP

dbt

Git / GitHub

Job description

Ford Motor Company, within the Integrated Services team, seeks a data-driven Data Scientist for its Digital Cabin AI assistant. The role is hybrid, enhancing IVI projects by turning raw data into actionable insights and dashboards.

You will blend ML, analytics, and product thinking to measure AI performance, run experiments, and shape data strategy from mobile apps to in-vehicle systems. Join a high-impact, cross-functional team.