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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.

Ford’s Model E team is charged with delivering the company’s vision of a fully electric transportation future. Model e is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You’ll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.

In this position...

We are seeking a highly skilled and experienced Data Scientist to drive the development, deployment, and enhancement of Yield Management Advanced Analytics capabilities. These include, but not limited to, product development, maintenance, and enhancement of data science capabilities. The ideal candidate will have a strong background in data science, advanced analytics, and a proven track record of improving business processes through data-driven decision making. This role will involve assessing existing toolsets, identifying opportunities for innovation & enhancement, and implementing solutions with paramount focus on business impact.

What you'll do...

Product Development for Yield Management:

• Product development, maintenance, and enhancement of data science capabilities.

• Collaborate closely with the product development team, and our business stakeholders to identify opportunities for innovation and improvement on these fundamental capabilities.

• Build rapid prototypes and test & assess the business utility of these solutions.

• Standardize these capabilities, as applicable, across data science use cases and business engagements.

Toolset Assessment and Enhancement:

• Conduct comprehensive assessments of existing data science toolsets and methodologies.

• Identify gaps and opportunities for improvement in existing tools and processes.

• Recommend and implement enhancements to existing tools or adoption of new technologies/algorithms to improve efficiency and effectiveness.

Collaboration and Communication:

• Collaborate with cross-functional teams, including sales and marketing, finance, and IT, to gather requirements and ensure alignment on advanced analytics initiatives.

• Communicate complex data science concepts and insights to non-technical stakeholders in a clear and actionable manner.

• Present findings, recommendations, and progress updates to senior leadership and other key stakeholders.

Data Governance and Quality:

• Ensure data integrity, quality, and accuracy in all advanced analytics models and processes.

• Implement best practices for data management, including data cleaning, preprocessing, and validation.

• Establish and maintain robust documentation for all data science projects and methodologies.

You'll have...

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related engineering and/or analytical field.

• Proven experience (5+ years) in a data science role with a focus on product development and optimization.

• Strong proficiency in Python and SQL.

• Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn) and optimization tools.

• Excellent analytical, problem-solving, and critical-thinking skills.

• Strong leadership and team management abilities.

• Exceptional communication and presentation skills.

• Experience with data visualization tools and embedded application development (e.g., Tableau, Power BI, Looker, Dash, Streamlit).

• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).

Even better, you may have...

• Master's degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field.

• Experience in the manufacturing industries, sales & marketing, Yield Management, Finance

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 childcare 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/LL6HTHD

This position is a leadership level 6.

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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Requisition ID : 31308