Lead Data Scientist

October 19

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J.D. Power

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Market Research • Analysis • Insights • Data and Analytics • Customer Experience Management

501 - 1000

Description

• Daily immersion in automotive industry data • Involved in strategic planning and decision-making for data science initiatives. • Independently create decks to make highly technical predictions relatable to the automotive industry • Documentation of machine learning processes • Deep expertise in advanced feature engineering and AI/ML model building. • Mastery of SQL, Python/R, Advanced Excel, AWS SageMaker, Palantir Data Science Integrations or other Machine Learning frameworks. • Collaborate closely with technology and engineering teams to improve existing processes and build out new ones • Work with the product team to develop the analytics that will power new products • Leads PI (Program Increment) planning for activities to be conducted in the next quarter, with limited supervision, for major developmental modules or projects. • Create visual reports in Tableau for internal and external clients that summarize findings • Team environment that encourages the sharing of ideas to build the best predictive algorithms • Ad-hoc data analysis and reporting

Requirements

• Ability to communicate technical processes to a lay audience • Presentation experience • Curiosity and passion for solving problems with data • 8+ years of professional experience working with large datasets • 8+ years of professional experience with statistical programming software (Spark, Python preferred) • 8+ years of professional experience with database software (RedShift, Hive, SQL, MYSQL) • Master’s Degree in Statistics, Data Science, Economics, or a related field