Data Scientist-hthd - Chennai, India - Ford Motor Company
Description
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.
Bachelor's Degree in related field (e.g., Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT)2+ 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.
2+ years of experience in Automotive, Transportation, Digital Business, or Analytics Consulting
2+ years executive presentation preparation and delivery
2+ years of experience acting as the senior technical lead helping facilitate analytical/technical discussions on solution tradeoffs for new feature implementations.
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.
Roles & Responsibilities:
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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.
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Modeling:Assessments, and evaluating impacts of missing/unusable data, design and select features, develop, and implement statistical/predictive models using edge algorithms on diverse sources of data and testing and validation of models.
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Data Engineering:
Experience with creating ETL processes to source and link data in preparation for Model/Algorithm development. This includes domain expertise of data sets in the environment, third-party data evaluations, data quality
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