Data Scientist - Conversational AI

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.

Join Ford's Digital Cabin team as the dedicated Data Scientist for our next-generation AI Digital Assistant. As this AI feature expands from mobile to In-Vehicle Infotainment (IVI) systems, you will shape its data strategy from the ground up. We need a full-stack Data Scientist who leans heavily into Product Analytics. You will leverage NLP and machine learning (Python/R) to cluster user utterances, perform sentiment analysis, and evaluate AI response accuracy.

Partnering with Product Managers, you will define core conversational metrics, design A/B tests for model updates, and build intuitive dashboards using Looker and PowerBI. Operating natively in GCP, you will write advanced SQL (Big Query) to structure raw mobile and vehicle telemetry into robust analytical sandboxes. You must bring 5+ years of experience, expertise in LLM analytics, and the ability to transform unstructured text into actionable insights that revolutionize the driving experience.

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.

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.