Data Scientist

The CX (Customer Experience) Data Scientist will be a part of the Customer Analytics CX team charged with understanding and improving Ford's customer experience in North America. This position will play a key role in delivering the right customer insights to help the business transform the end-to-end customer experience.We are looking for a Data Scientist to work on analytics in the Call Center space. The successful candidate will be a data explorer who embraces data wrangling and discover, a problem solver who is energized by difficult business problems, a user of statistics who understands advanced modeling frameworks and their limitations, a proven communicator who effectively interfaces between technical and business teams, and a reliable team player. – We value being Smart. Nice. Curious. Communicative.What you’ll be able to do : Acquire deep understanding of the business problems and translate them into appropriate mathematical representations Work with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, Python Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, and visualization. Work with teams to design intuitive visual interfaces for users to interact with the data using dashboard and programming software Develop and deliver analytic products using skills such as statistical analysis, machine learning, and interface development Interact and work cross-functionally with a wide variety of teams Develop trust with stakeholders and peers by delivering results on time Ensure overall quality of the data & solutions throughout the analytic development process Work with business teams on change management Collect feedback from business users and continuously improve analytic productsThe minimum requirements we seek : Bachelor’s degree in Statistics, Data Science, Computer Science or a related quantitative discipline One year of experience or other significant, independent project experience using at least one statistical software package such as R or Python, 3+ years of work experience with Python, SQL, and/or visualization/dashboard tools (such as Tableau, PowerBI or Qliksense) 3+ years of work experience in data mining, statistical analysis, modeling, optimization or similar analyticsOur preferred requirements: Masters or PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Economics, Mathematics, Data Science, Operations Research Comfortable working in an environment where problems are not always well-defined Inquisitive, proactive, and interested in learning new tools and techniques Strong oral, written and interpersonal communication skills Ability to effectively advocate technical solutions to peer, management and business audiences Well-organized, a self-starter, independent and ready to work with minimal supervision A respectful and committed teammate, willing to excel and work with talented peopleRequisition ID : 7761