Model e EVDD privacy engineering team is hiring for a data scientist to develop connected vehicle data privacy. As a data scientist, you have the oppotunity to protect our customer data through privacy enhancing technologies, risk intellegence and other relavent inititives. You will be working in a team of talented software engineers, data engineers and data scientists and will be closely collaborating with TPM, Product, Business, Legal, Privacy offices and other engineering teams. This is a hybrid position to Seattle WA, Dearborn MI and Palo Alto CA.Data Scientist for the privacy engineering team for connected vehicle. We protect customer data privacy through policy implementation and privacy enhancing technologies. On the policy side, we design and implement privacy governance solutions throughout the software and data life-cycle to enhance the compliance for all data collection for features and analytics. On the privacy enhancing tech side, we develop algorithms and engineering implementation to de-risk data collection to protect high risk customer data. Opportunities to work build 0-1 solutions, impacting all connected vehicle software and data. Work closely with TPM, OGC, privacy office, product, business and other engineering orgs.What you'll do
Develop privacy enhancing algorithms and implementations, such as encryption, secure enclave, differential privacy, federated learning and other related algorithms.
Develop automated privacy data-driven tooling to improve efficiency of privacy governance and other processes
Identify, measure and mitigate risks in the data system.
Provide data-driven insights.
You'll have
Master's degree in Math, applied math, statistics, data science, computer science or other related fields
5+ years of data scientist experience in two or more of the following areas: privacy or security algorithm development, risk assessment, risk detection, encryption, privacy enhancing technologies
5+ years of hands-on coding experience in one or more of the following: Python, SQL, C, Rust, Java.
3 years experience in statistics and machine learning
1 year experience in optimization, AI, LLM, metrics, experiment and other data science areas
1 year experience solve business problem with data and algorithm
Even better, you may have
PhD in Math, applied math, statistics, data science, computer science or other related fields
Excellent communication and technical writing skills
Experience in cybersecurity, threat modeling and encryption
Experience in edge compute and distributed systems
Knowledge of privacy and AI regulations, such as GDPR, CCPA, AI Act
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 (https://urldefense.com/v3/https://fordcareers.co/GSR-HTHD;NLtwI-RPugbI9wg0dJn!Cq0njv7Gy0QQsVMqPzny0zv3ezE2nv4O4-3FgYk43dAemM9pUPMv1Dxk06wTjobmQLoCJQJFk1s9PN$)This position is a range of salary grades 6-8 .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-HybridRequisition ID : 32755