Data Scientist - Prognostics

Dearborn, MI, United States

Ford Motor Company

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At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have an exciting opportunity for you to join our expanding area of Prognostics. 

Are you passionate about leveraging modern day data science methodologies/tools to study and predict the degradation or occurrence of a problem in a vehicle component/system? 

Would you love to accelerate our efforts to build amazing experiences and software products in the Connected Vehicles space - with data? 

We are seeking top-tier Data Scientists/Engineering professionals who are data driven, self - motivated and detail oriented to help develop and deliver breakthrough Prognostic Features  

What you'll be able to do?

  • Own the process for prognostic feature development from conceptual to feature deployment to our production vehicles.
  • Develop next -gen methodologies for electric/ICE vehicle prognosis/fault tolerance control and integration.
  • Develop, validate and implement prognostic algorithms by leveraging connected vehicle data to provide integrated hardware and software prognostics solutions to our customers.
  • Develop, and implement statistical/predictive models using advanced algorithms on diverse sources of data and testing and validation of models on hardware/software in loop benches, prototype vehicles.
  • Interact with subject matter experts to understand component/system functions, leverage existing connected vehicle data to model on-board and off-board prognostics algorithms.
  • Operate cross-functionally to ensure successful code implementation on production vehicles.

You will have…

  • Bachelors in a core engineering discipline in Mechanical, Aerospace, Electrical, Chemical, Civil Engineering  
  • M.Sc or PhD in Mechanical, Electrical, Computer Science, Computer engineering, Physics, Mathematics or related fields or a combination of education and equivalent experience. 
  • 3+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc. 
  • 3+ Experience with Python (and related modules), SQL 
  • 3 + Experience with embedded controls, onboard Diagnostic, Sensor Processing, General First Principles Physics Modeling and simulation using numerical computational tool (e.g. MATLAB, ATI, Simulink) 
  • 3+ Experience with Digital Signal Processing (DSP) data structures, algorithms, and software engineering principles. 
  • 1+ year in academic and/or professional experience in engines and/or transmissions

Even better if you have…

  • Familiarity working with Automotive prognostics feature development using connected vehicle data.
  • 3+ Experience in application of statistical and machine learning methods e.g., ANOVA, PCA,  clustering methods, causal inference, time series forecasting, random forest, multi-variate analysis, neural networks, etc.
  • Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through college course work, online training and certification or project development.
  • Experience in software development for automotive controls with hands on experience using MATLAB for post processing large scale data and understanding of programming fundamentals and experience with C++ programming in embedded environments. ATI and ETAS calibration tool familiarity
  • Self-motivated with excellent verbal and written skills. Highly credible in organizational, time management, decision making and problem-solving skills.

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.

For a detailed look at our benefits, click here:

https://fordcareers.co/GSR-HTHD 

This position is a range of salary grades 6-8 .


Visa sponsorship is 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 committed to a culturally diverse workforce. 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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Category: Data Science Jobs

Tags: ANOVA Causal inference Clustering Computer Science Engineering Hadoop Machine Learning Mathematics Matlab Open Source PhD Physics Python R Spark SQL Statistics Testing

Perks/benefits: Career development Fertility benefits Flex hours Flex vacation Health care Medical leave Parental leave

Region: North America
Country: United States

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