Staff 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? Imagine the possibilities at Ford Great ideas evolve into extraordinary products and customer experiences. When you bring passion and dedication to your job, there's no telling what you can accomplish. The Digital Manufacturing Systems team is seeking a Staff Data Scientist to help imagine, invent, and implement the technology used to manufacture the next generation of Ford vehicles. Our environment fosters product innovation, rapid iteration, and a significant amount of autonomy. Our development stack is diverse and includes a wide range of technologies, including low-level and server-side programming. Our team values fun, camaraderie, learning, and collaboration, and we are looking for someone who shares these values. We hold ourselves and our solutions to the highest standards, which we maintain through constructive code reviews, brainstorming sessions, and pair programming when appropriate. Additionally, we prioritize personal relationships and take the time to get to know each other and our partners. Sound good? We would love to hear from you. In this position The Digital Manufacturing Systems team is seeking a highly skilled and experienced Staff Data Scientist to join our growing data science team. The ideal candidate will have a proven track record of successfully designing, developing, and deploying data-driven solutions to complex business problems. This role requires strong technical skills, excellent communication abilities, and the ability to work independently and collaboratively within a team. What you'll do Lead and execute data science projects: Independently manage the entire lifecycle of data science projects, from problem definition and data acquisition to model development, deployment, and monitoring. This includes defining project scope, setting timelines, and managing resources effectively. Develop and implement advanced analytical models: Build and deploy machine learning models, statistical models, and other analytical techniques to solve business problems across various domains. This may involve a variety of techniques, including regression, classification, clustering, time series analysis, and deep learning. Data mining and analysis: Extract, clean, transform, and analyze large datasets from various sources. This involves working with SQL, NoSQL databases, and potentially cloud-based data warehouses. Develop and maintain data pipelines: Design and implement robust and scalable data pipelines to ensure efficient data flow and accessibility for analysis and model training. Collaborate with cross-functional teams: Work closely with engineers, product managers, and other stakeholders to understand business needs, define project scope, and communicate findings effectively. Strong communication and presentation skills are crucial. Mentor junior data scientists: Provide guidance and support to less experienced team members, fostering a collaborative and learning-oriented environment. Stay current with the latest advancements in data science: Continuously learn and explore new techniques and technologies to enhance the team's capabilities. Contribute to the improvement of data infrastructure and processes: Identify areas for improvement in data quality, data governance, and data infrastructure and propose solutions. You'll have PhD degree in Computer Science, Statistics, Data Science or a related field or a combination of education and equivalent work experience 10 years of experience as a Data Scientist. 5 years of programming experience in Python or R, including experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). 5 years of experience in statistical modeling, machine learning, and data mining techniques. 3 years of experience with SQL and NoSQL databases. Even better, you may have PhD degree in Computer Science, Statistics, Data Science, or a related field Experience with cloud computing platforms (Azure, GCP) Excellent communication, presentation, and collaboration skills. Ability to work independently and manage multiple projects simultaneously. Demonstrated ability to translate business problems into analytical solutions. Experience with specific industry domains (e.g., manufacturing) Experience with A/B testing and experimentation Experience with model deployment and monitoring Publication record in relevant conferences or journals Experience with data visualization tools (e.g., Steamlit) 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 the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, and prescription drug coverage Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare 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://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2024-benefits-and-comp-LL6-sal-plan-2.pdf This position is a leadership level 6 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. LI-remote LI-LA1 Requisition ID : 38278