Full job description 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? 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... This role will provide you with a unique opportunity to build a data and analytics ecosystem to drive foundational capabilities and important GTM use cases for Ford. The Data Scientist will drive building, maintaining, and refining the advanced analytics capabilities that will be the core of Ford’s business decisions, including volume and mix optimizations, allocations & distributions, pricing and C&I, Fixed Marketing investments, etc. The Data Scientist will be an integral part of the GTM technical team. Reporting to the Head of Advanced Analytics, Yield Management, this person will lead critical projects in the pipeline that will shape the future of Ford. You'll have... 3+ years of experience, with specific focus on data science and machine learning 3+ years of DS experience with end-to-end cloud-based development (develop, test, industrialize, deploy), Google Cloud preferred 3+ years of Coding experience with Python modeling, with demonstrated ability to go from concept through to implementation. Experience with Pandas, Scikit learn, and NumPy packages as well as ensemble-based ML algorithms (e.g., random forest, gradient boosted trees) and Deep Learning algorithms (e.g., RNNs, CNNs, GANs). Expertise in time series modeling. Working knowledge of natural language processing and anomaly detections. 3+ years of SQL experience for data manipulation/data engineering Even better, you may have... Master’s degree, PhD, or MBA North America and global experience Tangible experience with the full life cycle of building digital solutions (from PoC through to Production) Relevant experience linking business requirements to digital product development Record of accomplishment working DevOps and agile (vs. waterfall approach) Disruptor – willing to push for change Challenger mindset – ability to push past status quo & obstacles to implement vision 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 5-8 . 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. #LI-Remote In this position... This role will provide you with a unique opportunity to build a data and analytics ecosystem to drive foundational capabilities and important GTM use cases for Ford. The Data Scientist will drive building, maintaining, and refining the advanced analytics capabilities that will be the core of Ford’s business decisions, including volume and mix optimizations, allocations & distributions, pricing and C&I, Fixed Marketing investments, etc. The Data Scientist will be an integral part of the GTM technical team. Reporting to the Head of Advanced Analytics, Yield Management, this person will lead critical projects in the pipeline that will shape the future of Ford. What you'll do... The Data Scientist will build and maintain data science and analytics capabilities that will be central to Ford’s Yield Management and GTM decisions. This technical leader will interface directly with Ford’s Global Data Insights & Analytics team (GDIA) as well as with Ford IT to build and advance the frontiers of GTM decision making and will be critical to unlocking sustainable value creation for Ford . The Data Scientist will have a strong technical background, with experience building digital products from concept through to deployment. The ideal candidate will have strong data science capabilities (Python, SQL, Airflow, ML algorithmic techniques), experience working on cloud-based systems (ideally Google Cloud) as has worked in a business context where translating business requirements into technical solutions was essential. They will be a natural problem solver and strategist who will enjoy working in an entrepreneurial environment and stitching together components from the traditional Ford business with transformational ideas and concepts to drive Ford’s go to market strategy. They will have the ability to build critical relationships and work cross functionally with members of marketing, sales, finance, GDIA, IT, etc. As a technical leader they will mentor junior team members and help build a culture of trust and a sense of belonging, accountability, speed, and the ability to constructively challenge each other. They will have a strong bias to action, iterate quickly and have fun while doing the best work of their career.