Applied Researcher

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out.

Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.

In this position...

Applied ML and AI researcher to able to read and implement latest paper developments in AI/ML research to solve practical problems.

Applied ML and AI researcher to able to read and implement latest paper developments in AI/ML research to solve practical problems.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

What you'll do...

Critical Thinking:  Able to influence the strategic direction of the company by finding opportunities in large, rich data sets and crafting and implementing data driven strategies that fuel growth including cost savings, revenue, and profit.

Modeling: Assessments, and evaluating impacts of missing/unusable data, design and select features, develop, and implement statistical/predictive models using advanced algorithms on diverse sources of data and testing and validation of models, such as forecasting, natural language processing, pattern recognition, machine vision, supervised and unsupervised classification, neural networks, etc.

Data Expert:
Experience successfully going cold into datasets and have a process to understand, clean, and format the data.

Experience with crafting ETL processes to source and link data in preparation for Model/Algorithm development. This includes domain expertise of data sets in the environment, third-party data evaluations, and data quality. Partner with data engineering to deliver quality code and models at scale for millions of vehicles.

Storytelling:
Understand and communicate mathematical solutions as business problems solutions to product and non-technical partners.

Technical leadership:
Help to grow a team of data scientists and analysts through project leadership such as technical coaching, mentorship and establishing team wide best practices. Able to read and implement latest paper developments in AI/ML research to solve practical problems.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

What you'll do...

Critical Thinking:  Able to influence the strategic direction of the company by finding opportunities in large, rich data sets and crafting and implementing data driven strategies that fuel growth including cost savings, revenue, and profit.

Modeling: Assessments, and evaluating impacts of missing/unusable data, design and select features, develop, and implement statistical/predictive models using advanced algorithms on diverse sources of data and testing and validation of models, such as forecasting, natural language processing, pattern recognition, machine vision, supervised and unsupervised classification, neural networks, etc.

Data Expert:
Experience successfully going cold into datasets and have a process to understand, clean, and format the data.

Experience with crafting ETL processes to source and link data in preparation for Model/Algorithm development. This includes domain expertise of data sets in the environment, third-party data evaluations, and data quality. Partner with data engineering to deliver quality code and models at scale for millions of vehicles.

Storytelling:
Understand and communicate mathematical solutions as business problems solutions to product and non-technical partners.

Technical leadership:
Help to grow a team of data scientists and analysts through project leadership such as technical coaching, mentorship and establishing team wide best practices. Able to read and implement latest paper developments in AI/ML research to solve practical problems.