Job Title: Data Scientist
Company: Ford Motor Company
Location: Dearborn, MI
Description:
Job Description

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?

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

In this position...

We are looking for a mid-career or senior Data Scientist to support Design Cost and Complexity Analytics. A successful candidate must have experience in machine learning (ideally MLOps) and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will also have knowledge of cost modeling, product design (hardware), manufacturing, mechanical engineering or similar.

What You'll Do...


Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations
Work with large, complex data sets using tools such as SQL, BigQuery, and Python
Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, and visualization.
Develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and feature engineering
Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership
Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers
Develop trust with stakeholders and peers by delivering results on time
Ensure overall quality of the data & solutions throughout the development process
Provide training and maintenance of implemented tools to business partners
Collect feedback from business users and continuously improve analytic products



You'll have...


Bachelor’s degree in Engineering, Statistics, Data Science, Computer Science or a related quantitative discipline
3+ years of experience or other significant, independent project experience using Python, Google Cloud Services, and similar tools
3+ years of experience using Python, SQL or BigQuery for acquiring and transforming data
3+ years of experience with real-world data, data cleaning, data collection or other data wrangling challenges
1+ years of experience deploying Machine Learning Operations for internal or external use
Experience with GCP or other cloud systems
Comfortable working in an environment where problems are not always well-defined
Well-organized, a self-starter, independent and ready to work with minimal supervision
A respectful and committed teammate, willing to excel and work with talented people
Inquisitive, proactive, and interested in learning new tools and techniques
Proven quantitative modeling and statistical analysis skills



Even better, you may have...


Masters or PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field
Knowledge of cost modeling, product design (hardware), mechanical engineering or similar
4+ years of work experience with Python, SQL, and BigQuery
4+ years of work experience in data mining, statistical analysis, modeling, optimization, drift detection or similar machine learning operations
Strong oral, written and interpersonal communication skills
Ability to effectively advocate technical solutions to peer, management and business audiences



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 is a salary grade 8.

For more information on salary and benefits, click here: New Hire Benefits

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.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

Onsite work of up to three days per week may be required for candidates within commuting distance of a Ford hub location.


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