Data Scientist - AI/ML & Analytics for Electric Vehicle Engineering

Data Scientist

We are seeking a Data Scientist for the EV Core Experience team within the Global Data Insights & Analytics (GDIA) organization's Strategy & Enterprise Analytics (SEA) team. Our team develops innovative, cloud-native AI and analytics solutions that optimize the electric vehicle lifecycle and enhance core engineering processes. We focus on delivering high-impact data products that leverage vehicle telematics, advanced machine learning, and generative AI to solve complex challenges across EV performance, energy management, and engineering design automation. As a Data Scientist, you will be a key player in bridging the gap between complex data streams, engineering requirements, and actionable AI solutions that drive Ford’s EV leadership.

What you’ll do…

• Acquire a deep understanding of complex engineering and business problems and translate them into scalable AI/ML solutions.

• Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.

• Ingest, transform, and analyze large datasets to support the team in launching data products in the Data Factory on Google Cloud Platform (GCP). 

• Act as a full-stack data scientist to develop and deliver advanced analytics models, including forecasting, anomaly detection, optimization, LLM, and more.

• Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and production-level model development.

• Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results

• Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences.

You’ll have…                   

• Master's degree (M.S.) in Data Science, Computer Science, Industrial & System Engineering, Mechanical Engineering, or a related quantitative field.

• 3+ years of experience in AI/ML, with proven experience developing and deploying machine learning models in a production environment.

• 2+ years of experience in GCP with solutions designed and implemented at production scale.

• 2+ years of experience in advanced modeling, optimization, operational research. 

• Expertise in SQL for data querying, manipulation, and database interaction.

• Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.

• Excellent oral, written, and interpersonal communication skills.