Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

Creating the future of smart mobility requires the highly intelligent use of data, metrics and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

What you’ll be able to do:

• Perform analysis and modeling of residual values, auction prices, and market drivers to support Business and Sales Planning Analytics (BSPA) Used Vehicle Valuations team and customers
• Develop models to quantify the relationship between auction prices and key residual values drivers
• Support residual value setting and/or retention forecasts by providing detailed and accurate recommendations to the business
• Quantify and decompose residual value gaps between brands and vehicles
• Provide data analysis visualization.
• Apply and integrate latest analytical tools and data sources to more accurately model used vehicle prices
• Assist in preparing reports and ad-hoc analyses for management and business customers
• Scope: U.S. / Canada Residual Values and Used Vehicle Market

The minimum requirements we seek:

• Master’s degree in Economics, Statistics, Data Science or a related field of study.
• 2+ years of experience conducting statistical analysis in a business or academic environment
• 2+ years of experience with at least one of the following tools: Data Gathering skills/tools (e.g. SQL, Hadoop, Teradata, SAS, Business Objects or Alteryx) AND Visualization skills/tools (e.g. QlikView, Tableau or Web Focus)

Our preferred requirements:

• Experience with Excel and PowerPoint
• 3+ years of Auto industry related work (auto marketing and sales experience a plus)
• Familiar with various modeling methodologies, including economics, econometrics, statistics, and data mining
• Excellent time management skills and be able to handle working on multiple projects at the same time
• Ability to make reasonable judgments and conclusions with limited information and resources.
• Be able to utilize all major modeling techniques as applied to short and long-term volume and price forecasts
• Ability to quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality
• Be aspirational and curious in technical excellence and innovation
• Have a lifetime learning attitude