Note: The job is a remote job and is open to candidates in USA. JD Power is a leading company in the automotive data analytics industry, and they are seeking a Principal Data Scientist to join their Valuation Services division. The role involves utilizing advanced technologies to analyze automotive data, build predictive models, and collaborate with various teams to create impactful data products.

Responsibilities

• 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
• Expert in 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

Skills

• 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
• Experience with automotive market data
• Professional expertise deploying cloud-based ML Ops systems
• Experience working with AWS tools (Sagemaker, Glue, Batch, Lambda…)
• Some shareable examples of data visualizations you have created
• Experience deploying machine learning models into production with an API
• PhD in Statistics, Data Science, Economics, or related field

Benefits

• Should you require accommodations during the recruitment and selection process, please reach out to [email protected].

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