Senior Data Scientist

Senior Data Scientist

Location: Europe (Remote)

Reports to: Data Science Manager

The Role:

As part of the Valuation Services division of J.D. Power, you will work to understand what features drive a vehicle's price and predict future values. Our data science team is accountable for every data point we output and provides industry-leading, accurate, transparent analytics. We are looking for a Data Scientist who will be free to utilize the latest technologies to solve challenging problems, create innovative machine learning processes from the ground up, deploy them into production on our AWS server, and develop the tools for monitoring them. We are a mature and tight-knit data science team looking to add another top-shelf team member ready to make a difference in the automotive industry. Join us!

The Impact You Will Have in This Role:

We make data products and every new data product we output will solve a problem in the auto industry. Every Data Scientist will build models that go into production and directly impact our core products.

What You'll Be Doing in This Role:

• Immersing yourself daily in automotive industry data
• Building and deploying advanced AI/ML and classical regression models
• Conducting advanced model evaluation and optimization
• Documenting machine learning processes
• Leading and managing complex end-to-end data science projects
• Collaborating closely with technology and engineering teams to improve existing processes and build out new ones
• Working with the product team to develop the analytics that will power new products
• Applying expertise in advanced feature engineering and AI/ML model building
• Leveraging mastery of Python/R and SQL for advanced data manipulation
• Applying in-depth knowledge of Snowflake other machine learning frameworks
• Creating visual reports in Tableau for internal and external clients that summarize findings
• Sharing ideas within the team to build the best predictive algorithms
• Conducting ad-hoc data analysis and reporting

Qualification of this Role:

• At least 8 years of professional experience with a Bachelor's degree or 6 years with a Graduate degree overall, that includes
• 4+ years of working with large datasets
• 4+ years of working with statistical programming software (Python/Spark preferred, R and SAS are a strong plus)
• 4+ years of working with database software (MS SQL, Snowflake, or MySQL)
• Ability to communicate technical processes to a lay audience
• Presentation experience
• Curiosity and passion for solving problems with data

Nice to Have:

• Experience with automotive market data
• Professional expertise deploying cloud-based ML Ops systems
• Experience using Claude in ML or Data Science projects.
• 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

The Hiring Manager says:

The hiring Manager to put the pitch in their own words: I'm looking for the kind of person who has several years experience in the field, good formal education and has curiosity and passion for solving problems with data. A person who collaborates well with team members and other teams. Has ideas and is willing to share those. Has will to develop as expert and as human.

Company Mission

Our mission in the market we serve is clear. To power every auto-related decision through proprietary data, advanced analytics, deep industry expertise, and seamless workflows that connect insight to action.

Our Values

We POWER Our Customer's Success

We are Innovative, Collaborative and Grounded in Data

We Make Things Easy

We Get It Done

We Start with Trust & Prove it Everyday

JD Power is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Should you require accommodations during the recruitment and selection process, please reach out to View email address on click.appcast.io.

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