Senior 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 •Leading end-to-end data science projects. •Designing and implementing complex feature engineering strategies. •Building and deploying advanced AI/ML and classical regression models. •Conducting advanced model evaluation and optimization. •Documentation of machine learning processes •Involves leading and managing complex end-to-end data science projects. •Requires expertise in designing intricate feature engineering strategies. •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 •Expertise in advanced feature engineering and AI/ML model building. •Mastery of SQL, Python/R, and Advanced Excel for advanced data manipulation. •In-depth knowledge of AWS SageMaker, Palantir Data Science Integrations or other Machine Learning frameworks. •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

•4+ years of professional experience working with large datasets •4+ years of professional experience with statistical programming software (Spark, Python preferred) •4+ years of professional experience with database software (RedShift, Hive, SQL, MYSQL) •Master’s Degree in Statistics, Data Science, Economics, or a related field •Ability to communicate technical processes to a lay audience •Presentation experience •Curiosity and passion for solving problems with data

Benefits

•Time off Matters •Foster Flexibility •Reward Performance •Leader Led •Remote First