Connected Vehicle Quality Engineer

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? The EVDD Connected Vehicle Quality Early Warning team is seeking Data Analytics Engineers to manage connected vehicle data projects. This role is crucial for supporting key vehicle launches and addressing current vehicle quality issues. The engineer will manage and support the triage of primarily Diagnostic Trouble Code (DTC) related issues during vehicle launches, develop Connected Vehicle data solutions for internal customers, and collaborate with engineering teams on the strategic use of data for problem-solving. We are looking for team members who are passionate about growing their skills, tackling exciting "leading-edge" work, committed to customer quality, and enjoy solving potential concerns. **Basic Qualifications**:You'll Have - Bachelor’s Degree in Mechanical/Mechatronics Engineering, Electrical Engineering, or a Computer Science-related field. - 2+ years of experience in Big Data Analytics, manipulating data to form unified datasets for analysis. - 1+ year of experience in query languages such as SQL, HiveQL, Google BigQuery, or Spark. - 1+ year of experience in data visualization tools (Qlik, Power BI, Looker). - Intermediate Python skills, including the use of basic libraries (pandas, numpy, matplotlib, etc.). - High analytical skills. - Excellent interpersonal, written, and oral communication skills. - Self-motivated individual with a high level of initiative. - Proven effective organizational, planning, and time leadership skills. **Preferred Qualifications**:Even better, you may have - Web development/deployment knowledge. - Machine Learning (ML) knowledge. - Ability to understand how to ingest large datasets from a variety of sources (SQL, Python, Java, Hadoop, Alteryx, Qlik Sense, etc.). - Knowledge of data management. - Experience with Automotive systems, features, and/or components. - Proficiency with GitHub and JIRA. - Strong visualization skills to communicate data insights, making data analysis measurable and understandable by business partners. - Ability to break down complex problems to build and implement an action plan. - Ability to prioritize in a fast-paced, sophisticated, global environment. - Ability to consistently perform at a high level of technical competence, showing composure and decisiveness under pressure. 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 the team, we encourage you to apply Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability. In this position, you will - Collaborate with Product Development (PD) teams to extract, summarize, and analyze Connected Vehicle data to further understand and effectively problem-solve potential issues. - Work with program launch teams, plant resident engineers, and program software/hardware engineers to classify and diagnose vehicle faults (DTCs) occurring at the plant, dealership, or reported by customers, with the goal of implementing corrective actions to prevent warranty issues. - Enhance the use of Connected Vehicle data (e.g., battery State of Charge - SOC data, door ajar, warning lights, etc.) through the ideation and development of innovative tools and methods for problem-solving. - Utilize and develop processes, tools, and methods to gain valuable insights from large volumes of Connected Vehicle data. - Promote and utilize Agile Data Collection methods (RDR, PARSED, and CARMon) to support engineering problem-solving and data-driven decisions. - Build strong and trusting relationships with business partners across Ford North American organizations.