Computer Science Jobs in Rochester Hills, MI (NOW HIRING)

Our Marketing, Sales & Service organization advances Ford's reputation as a visionary vehicle and mobility services company and helps deliver a trusted customer experience. Use your marketing, sales, and service expertise to turn data-driven insights into innovative solutions that enhance sales and customer loyalty. Join us and be the eyes, ears, and voice of Ford.

The Yield Management (YM) team supports all Ford Blue, Model e, and Ford Pro product lines and tackles the ~5 highest priority strategic and profit projects each quarter.  The team works in "Value Sprints" with a dedicated team focused against a specific mandate for a dedicated period of time. The team applies problem-solving framework and leverages advanced analytics to derive insights and deliver tangible recommendations to create value for Ford.  Yield Management's project portfolio aims to deliver a balance of:

• Near term vehicle line specific profit improvement or risk mitigation actions
• New or expanded enterprise capabilities
• Long term portfolio optimizations

This Yield Management position operates cross-functionally across Marketing & Sales, Brand, Product Marketing, General Management, GDI&A, Finance, & Ford Credit.  Data Scientists come from a range of different backgrounds and work on specific "sprints" typically for 6-8 weeks.
In this position...

This role is at the intersection of strategy, operations, and analytics, and is tasked with creating change and maximizing profits in the Ford+ plan. The immediate working team is highly collaborative and fast-paced. This is a high-exposure role with ongoing interaction with leadership across Ford Blue, Model e, and Ford Pro.

As a Data Scientist, you will perform analysis and modeling as part of Yield Management Scope: Profit optimization & decision analysis, vehicle line demand estimation, price sensitivity analysis, counter-factual modeling, and hypothesis testing.

You'll have...

• Bachelors degree Computer Science, Economics, Analytics, Business, Strategy, Finance, Mathematics/Statistics or related field 
• 5+ years of relevant experience in Computer Science, Economics, Analytics, Business, Strategy, Finance, or related field 
• 3+ years of various modeling methodologies, including economics, econometrics, statistics, data mining; be able to explain to a non-technical audience the results of your work
• 3+ years of experience working in Microsoft Excel and PowerPoint
• 3+ years in python and Database languages such as SQL
   

Even better, you may have...

• MBA or PhD degree in Statistics, Economics, Computer Science in an appropriate field of study
• Experience with Google Cloud Platform (GCP) and programming/statistical software utilizing large datasets
• Knowledge of Marketing & Sales, including exposure to some combination of go-to-market strategy, brand marketing, field ops, sales, variable marketing, pricing, allocation, production, or supply chain
• Fast learning, hands on, aspirational and curious in technical excellence and innovation; have a lifetime learning attitude
• Be able to make reasonable judgment and conclusion with limited information and resources; be able to quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality
• Executive communication experience (written and verbal)

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 grades 5-8 and ranges from $63,480-162,120.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

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. 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.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. 
#LI-Hybrid #LI-LS1
 

What you'll do...

In sprints, Data Scientists are responsible for:

• Accessing and analyzing data to develop solutions, including leveraging advanced analytics tools and building ad-hoc data models
• Applying structured problem-solving mindset to sprints
• Considering enterprise-wide impact and sensitivity of sprint recommendations
• Communicating analysis insights and implications of sprint recommendations
• Apply and integrate latest analytical tools developed by Yield Management Advanced Analytics modeling team
• Assist in preparing presentations and reports for management and business customers

Additionally, Data Scientists support:

• Establishing the sprint mandate and problem statement with key stakeholders
• Leading analysis and developing insights and implications of decisions
• Delivering clear and actionable recommendations