• Dearborn, MI, USA
  • Contract

Position Description:

The role of the Analytics Scientist is a critical enabler to the development of Company's Data Supply Chain including Connected Vehicle and Mobility data. This position will manage the data quality aspects of mobility data including profiling, data product UAT, monitoring, issue resolution and connected vehicle decoding validation. The Analytics Scientist works closely together with GDI&A Analytics, IT, Data Governance and the external solution partners to drive alignment and delivery of the Data Supply Chain and bring data up to quality required to deliver on the business objectives. Tasks Execute Data Accuracy, Characteristics, and Process Integration Working with various business partners to gather requirements and develop solutions in data quality management required to deliver business objectives Act as data stewards who consult with analytics teams, senior GDI&A management, executive sponsors, program sponsors, business partners to provide data domain expertise Become a Subject Matter Expert in data quality of Connected Vehicle and Smart Mobility Design and developing the system for data quality management Vehicle modem data decoding support Manage data quality issues using the traditional and AI/ML approaches Perform profiling, UAT, live data monitoring and problem resolution Establish data quality benchmarks and drive improvements to data quality to improve analytic outcomes Explore data insight to aid the analytics solutions Develop documentation for production efficiency and maintenance efficiency Drive and be a catalyst for innovation

Skills Required:

  • Demonstrated problem formulation with the ability to take complex problems and break them down to create and implement an action plan Ability to communicate findings to make data analysis actionable and understandable by Data Operations team members, business partners, including IT and analytic teams Ability to communicate information and ideas in written and verbal formats effectively, including process documentation Strong collaboration skill and the ability to work within a cross-functional team Technical skill in data management and application design AI/ML model building Experience in Linux, Hadoop, Hive, SQL, Spark, DBMS, Python, Scala, Machine Learning and Informatica


Experience Required:

  • Progressive responsibilities managing data and data processes Minimum of 3 years of experience in Analytics Data Management, including system design and data architecture Minimum of 2 years of experience in Big Data technologies in Hadoop/Spark platform AI/ML model developed by self in auto industry Familiar with Connected Vehicle and Mobility data attributes

Experience Preferred:

  • Strong team player, to solve problems and actively incorporate input from various sources Demonstrated customer focus, with the ability to evaluate decisions through the eyes of the customer, build strong customer relationships, and create processes with customer viewpoint Strong analytical and problem solving skills, with the ability to communicate in a clear and succinct manner and effectively evaluates information/data to make decisions Strong interpersonal skills, with proven abilities to communicate complex topics to leaders and peers in a simple, clear, plan oriented manner Change oriented, with the ability to actively generates process improvements, support and drives change, and confront difficult circumstances in creative ways Resourceful and quick learner, with the ability to efficiently seek out, learn, and apply new areas of expertise, as needed Highly self-motivated, with the ability to work independently Strategic and clear thinking to translate discreet and complex ideas to business-driven results Detail-oriented with a strong drive to enforce common standards Demonstrated acceptance and adherence to high ethical, moral, and personal values

Education Required:

Bachelor's degree in Computer Science, Engineering, or Statistics

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