Reliability Data Scientist

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 seeking a highly motivated and experienced Data Scientist to join our dynamic team to drive advanced reliability and statistical analysis. In this role, you will leverage your expertise in mathematical statistics and machine learning to develop advanced statistical and AI/ML models for vehicle warranty data, focusing on reliability analysis, working alongside experienced statisticians, data scientists and software engineers.  You will collaborate closely with business stakeholders to understand their needs and translate them into actionable insights. 

What you'll do...

• Develop and implement advanced statistical and AI/ML models for reliability performance of automotive components, leveraging large datasets such as sensor data, testing data, and field performance data.
• Perform ad-hoc analyses to support company's decision-making.
• Communicate complex technical findings to both technical and non-technical audiences, including business stakeholders through presentations and reports.
• Work effectively within a multi-disciplinary team comprised of statisticians, data scientists, data engineers, software developers and business professionals from diverse cultural backgrounds.
• Stay up-to-date with the latest academic advancements in machine learning and data science, and explore new techniques to enhance our forecasting capabilities.
• Help deploy and maintain machine learning models in a production environment.

You'll have... 

• Master's (PhD preferred) degree in Applied Statistics (Reliability/Survival focus preferred), Mathematics, Data Science, Computer Science, or a related quantitative field.
• Proven experience (3+ years) developing and deploying advanced statistical and AI/ML models.
• Strong understanding of statistical modeling techniques, including survival analysis, stochastic process models, regression analysis, time series analysis, etc.
• Proficiency in programming languages such as Python or R, and experience with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch, and statistical software (e.g., Minitab, SAS JMP).
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Demonstrated ability to work both independently and collaboratively in a multi-disciplinary team.
• Experience with model deployment and monitoring.

Even better, you may have...

• Familiarity with reliability engineering principles and practices.
• Experience with cloud computing platforms such as Google Cloud.
• Experience with data visualization tools such as Power BI.
• Experience with MLOps practices.
• Familiarity with automotive warranty data and industry practices.

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.

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