Data Scientist - Conversational AI

Job description

The Opportunity We are the movers of the world and the makers of the future. The Integrated Services team at Ford is developing connected, digital platforms that will revolutionize how vehicles function. You will join the Digital Cabin organization as the dedicated Data Scientist for our next-generation AI Digital Assistant. This AI-driven feature is currently active on mobile platforms and is rapidly expanding into our In-Vehicle Infotainment (IVI) systems to execute tasks, provide vehicle reports, and enhance the driving experience.

This role offers a unique opportunity to shape the data strategy for a high-priority AI product from the ground up. We are looking for a strategic, "full-stack" Data Scientist who leans heavily into Product Analytics. You must be willing to roll up your sleeves to structure raw data and build executive dashboards, while also deploying applied machine learning techniques to categorize user utterances, evaluate AI performance, and drive behavioral insights.

Responsibilities

What you'll do...

NLP & Utterance Analysis

Leverage Natural Language Processing (NLP) and machine learning to categorize and cluster raw user utterances. Perform sentiment analysis on unstructured text logs to extract actionable product insights.

AI Response Evaluation & Experimentation

Design methodologies to evaluate the helpfulness, accuracy, and relevance of the AI’s responses. Design and analyze A/B tests to measure the impact of prompt adjustments, model updates, and new feature rollouts.

Data Integration & Sanitization

Dive directly into Google Cloud Platform (GCP) to cleanly join and structure mobile, customer support, and vehicle data into robust "Analytical Sandboxes," ensuring strict adherence to data privacy and PII handling standards.

Problem Framing & Metric Definition

Act as a strategic partner to Product Managers. Challenge assumptions and define core conversational metrics (e.g., task success rates, user engagement, support deflection).

Advanced Visualization & Self-Service

Design, build, and maintain highly intuitive, narrative-driven dashboards using Looker and PowerBI to empower the product team to answer their own day-to-day questions.

Bridge the Mobile-to-IVI Gap

Act as the analytical bridge as our digital assistant expands from the Ford app into the vehicle, standardizing mobile data against our emerging in-vehicle data contracts.

Qualifications

You'll have...

Education

A Master's Degree in a quantitative, technical, or related field (e.g., Data Science, Computer Science, Statistics).

Experience

7+ years of experience in Data Science, Product Analytics, or Applied Machine Learning. "

Full-Stack" Capability

Demonstrated ability to act as a bridge between Data Science, Engineering, and Product—taking raw telemetry, applying statistical/ML models, and transforming it into business insights without relying on a central data team for every step.

Primary Technical Skills

Applied ML & LLM Analytics: Proficiency in Python or R with hands-on experience in text analytics, clustering, and categorization. Familiarity with LLM evaluation techniques (e.g., prompt effectiveness, hallucination tracking, human-in-the-loop feedback).

Expert-Level SQL & GCP

Highly proficient in writing complex, optimized SQL (Window Functions, CTEs, handling JSON/Nested Data) within Google Cloud Platform (BigQuery) to structure datasets independently.

Advanced Visualization

Deep expertise in building scalable business intelligence solutions, semantic layers, and executive-facing dashboards in Looker and PowerBI.

Experimentation

Strong grasp of statistics and experience designing and measuring A/B tests in a product environment.

Analytics as Code

Experience with version control (e.g., Git, GitHub) and working in environments where analytics changes go through a formal peer-review process.

Strategic Problem Solving

Comfortable navigating complex, multi-source data environments. You view data integration as a puzzle to be solved and a strategic enabler for the business. Even better, you may have...

Behavioral Analytics

Experience using platforms like Amplitude to analyze user funnels, retention curves, and cohort behavior.

Data Modeling

Experience with dbt (Data Build Tool) or similar frameworks for transforming data in the warehouse. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home?

Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• 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. This position ranges from a salary grade of 6-8 from. For more information on salary and benefits, click here: https://fordcareers.co/GSR . Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. This position is hybrid (onsite four days per week). #LI-Hybrid #LI-CL2