Lead Data Scientist - Yield Management Advanced Analytics
Detroit, MI, United States
Ford Motor Company
Since 1903, we have helped to build a better world for the people and communities that we serve. Welcome to Ford Motor Company.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?
In this position…
We are seeking a highly skilled and experienced Data Scientist to drive the development, deployment, and enhancement of foundational capabilities for Yield Management Advanced Analytics. These include, but not limited to, demand forecasting, segmentation, sensitivity analysis, and optimization efforts. 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…
Foundational Capabilities for Yield Management:
- Development, validation, and implementation of foundational capabilities for Yield Management including demand forecasting, sensitivity analysis, product/customer/market segmentation, optimization, etc.
- 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...
Minimum
- Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Proven experience (5+ years) in a data science role with a focus on demand forecasting 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).
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!
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.
This position is a salary grade LL6.
For more information on salary and benefits, click here: https://fordcareers.co/LL6NonHTHD
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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Computer Science Data governance Data management Data visualization Finance GCP Google Cloud Looker Machine Learning Mathematics Power BI Python Scikit-learn SQL Statistics Streamlit Tableau TensorFlow
Perks/benefits: Career development Fertility benefits Flex hours Flex vacation Health care Medical leave Parental leave
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