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? 

The Global Data Insights and Analytics (GDI&A) Design Cost and Complexity Analytics team is looking for a data scientist with expertise developing and deploying analytics solutions. As a member of this team with varied strengths, you will have the opportunity to work with some of the brightest global domain experts in vehicle cost/quality and connectivity who are transforming the automobile industry.

Our ideal candidate will lead or assist in AI/ML model development and deployment to support vehicle quality improvement and design cost reduction, by using connected vehicle data and other data sources to predict customer usage. You will be encouraged to work with AI/ML experts and IT team to choose the right software architecture and implement the AI/ML solution. We are seeking independent problem solvers with a technical mentality who have a passion for learning and applying groundbreaking technologies. This role requires a strong blend of data science expertise and software engineering skills for end-to-end ML Ops and front-end development.

What you'll do...

You will be responsible for providing the data analytics support for projects, including assembly of data for building models, building data pipelines, and performing predictive/prescriptive analytics, and building POC web applications. More specifically, you will:

• Collaborate with Product Development and Quality experts to understand their requirements and overall business needs and translate high-level ideas into well-defined mathematical problems
• Collaborate with IT partners to ensure that the AI/ML solutions are deployed seamlessly
• Identify key data elements to extract/decode/analyze. Understand which elements of large data sets can be most effectively demonstrated in the analytic models and what potentially useful information may be missing.
• Apply advanced analytical solutions (including machine learning and statistical models), and conduct analysis that consists of problem formulation, data extraction and pre-processing, modeling, validation, ongoing work, and presentations.
• Manipulate high-volume, high-dimensional structured and unstructured data from a variety of sources and implement algorithms to identify anomalies, relationships, and trends
• Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing concrete business insight
• Explore new technologies and analytic solutions for use in quantitative model development and deployment
• Develop complete system designs that include data, pre-processing, modeling, optimization, post-processing, and interfaces for user interaction, including front-end development.
• Interpret modeling results and communicate them to technical and non-technical audiences, multi-functional teams, and leadership

You'll have...

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
• 1+ years experience in a data analytics role including running queries, compiling data, and manipulating data from separate sources to form unified sets for analysis.
• 1+ years experience in predictive analytics including machine learning and experience writing algorithms in Python, Scala, or similar languages.
• 1+ years experience in at least one of the following languages: Python, R, SQL, or similar languages.

Even better, you may have...

• MS or PhD in Computer Science, Electrical Engineering or a related field
• 2+ years of experience with Python, SQL, Spark, Hadoop, or Google Cloud Platform
• 2+ years of experience with Machine Learning methods and tools, including but not limited to: linear and nonlinear regression, classification, and clustering (Relevant university course projects qualify)
• 1+ year of work experience (in a non-academic setting) involving complex quantitative modeling and analysis in any of the areas mentioned under Basic Qualifications
• 1+ year of experience or equivalent in creating and deploying Agentic AI solutions in real world industrial setting
• Demonstrated ability in the application of Machine Learning to real-world industrial settings with large scale data
• Proficient with version control systems such as Git, as well as agile software development and DevOps tools
• Excellent programming skills, particularly interface development to generate data visualizations and to extract insights from large complex data sets, is very desirable
• Strong oral, written, and interpersonal communication skills and an ability to work in a collaborative team setting
• Familiarity with web development backend frameworks such as Python Flask or Java SpringBoot, and frontend frameworks such as Angular
• Comfortable working in a fast-paced and innovative environment where problems are not always well-defined
• Well-organized, a self-starter, independent and ready to work with minimal direction

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 7-8.

*Note: This is a hybrid role, you are expected to relocate if you are not within commutable distance, and responsible to be on site at least 4 days a week

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 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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