Ford Pro is a new global business within Ford committed to commercial customer productivity. Ford Pro delivers a work-ready suite of vehicles, products, and services for virtually every vocation, backed by technology, and engineered for uptime. A true one-stop shop, offering a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers’ businesses thrive today and into the new era of electrification.
We are seeking experienced Data Scientists to add to our team to drive the next generation of Commercial Business. Data Scientists work in a Product Management Delivery model working end-to-end with business managers, product owners, product designers, data engineers, software developers to deliver next-gen analytics innovation.
This is an exciting, fast-paced role which requires exceptional organization skills combined with strategic thinking, problem-solving and agile management tools to support team success.
As a Data Scientist, you will formulate approaches to solve problems using well-defined algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. You will engage with peer stakeholders to produce clear, compelling, actionable output that influences product and service improvements. The form of these processes will vary within Smart Mobility based on the customer area, the type of technology in use, and the complexity of product integration.
- Strategic Thinking: Able to influence the strategic direction of the company by identifying opportunities in large, rich data sets and creating and implementing data driven strategies that fuel growth including cost savings, revenue, and profit
- Modeling: Assessments, and evaluating impacts of missing/unusable data, design and select features, develop, and implement statistical/predictive models using edge algorithms
- Analytics: Utilize analytical applications like R and Python to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into business strategies or analytics software.
- Data Engineering: Experience with creating ETL processes to source and link data in preparation for Model/Algorithm development
- Visualization: Create visualizations to connect disparate data, find patterns and tell engaging stories
- Bachelor’s Degree in related field (e.g., Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT)
- 3+ years of experience of statistical methods and their proper application e.g., principal component analysis, correspondence analysis, k-means cluster analysis, factor analysis, multi-variate analysis, data modeling, linear regressions, non-linear regressions, partial least squares techniques
- 3+ years of experience using statistical software (e.g., R, SAS, SPSS, STATA, Spark, Python-based tools)
Experience working in a cross-functional, agile product team environment/analytic delivery team - 3+ years of experience in Automotive, Transportation, Digital Business, or Analytics Consulting
- 3+ years executive presentation preparation and delivery
- 3+ years of experience acting as the senior technical lead helping facilitate analytical/technical discussions on solution tradeoffs for new feature implementations
