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Data Science Analyst - Advanced Analytics
Ford Motor Company
- United States
- United States
Über
In Global Data Insight & Analytics (GDIA), we aim to propel Ford Motor Company into a data-driven future, leveraging cutting-edge data and artificial intelligence to achieve our strategic objectives and uncover new opportunities. The GDIA Design Cost analytics team is dedicated to developing innovative data products and analytic software, providing insights across various teams, and delivering significant value to Ford through expert application of critical thinking, artificial intelligence (AI), machine learning (ML), and optimization techniques. As a
Data Science Analyst
in the Design Cost and Complexity (DCC) team, you will utilize your expertise in data and advanced analytics to demonstrate the importance of data-driven insights in achieving business goals. You’ll create analytics products drawing on your skills in visualization, AI/ML, Statistics, and Optimization within GDI&A’s framework. Collaborating closely with Data Engineers and Software Engineers, you’ll help build powerful analytics solutions. Additionally, your understanding of our product-driven operational model and your proficiency in Google Cloud Platform will be essential for optimizing delivery and value creation. Your Responsibilities: Accelerate the integration of value-added analytics and machine learning into our Complexity Analytics portfolio. Promote analytic excellence by working with Data Scientists, Data Engineers, and Software Engineers in applying analytics and machine learning techniques. Collaborate with the Product Manager and Product Owner to translate business needs into actionable analytic deliverables and relevant software products. Engage directly in solution implementation that aligns with customer requirements. Act as a strategic consultant to the business rather than merely an order taker. Balance thoroughness with timely delivery, identifying risks, offering alternatives, and guiding decision-makers effectively. Qualifications: Master's degree in Computer Science or a related field. At least 2 years of hands-on experience in mathematical programming or software engineering, demonstrating technical expertise in data analytics, AI/ML, operations research, and/or optimization. More than 1 year of experience in delivering analytics solutions. Familiarity with Agile methodologies for at least 1 year. We encourage you to apply even if you don't meet every requirement. If you believe you can bring value to Ford Motor Company, we want to hear from you! As a globally established company, we provide diverse career paths. You can choose whether you want your journey to take you around the globe or keep you close to home, whether it involves deep dives into your passions or exploring new skills and teams. We support various career trajectories, whether you aim to be a leader, changemaker, technical expert, or culture builder. Benefits Include: Immediate medical, dental, vision, and prescription drug coverage. Flexible family care days, paid parental leave, and new parent ramp-up programs. Family building benefits, including adoption and surrogacy reimbursement and fertility treatments. Employee and family vehicle discount programs. Tuition assistance for further education. Engagement in active employee resource groups. Paid time off dedicated to community service activities. A generous holiday schedule, including paid time off between Christmas and New Year. Additional vacation time options available for purchase. This position includes a range of salary grades from 6-8. It is a hybrid role, requiring employees to be onsite 4 days a week. Relocation may be necessary for candidates outside a commutable distance. Visa sponsorship is available for this position. Candidates must be legally authorized to work in the United States, and employment eligibility verification will be required upon hire. Ford Motor Company is an Equal Opportunity Employer committed to a diverse workforce. All qualified applicants will receive consideration regardless of race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status, or protected veteran status.
Sprachkenntnisse
- English
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