Senior Data Scientist
at Lolanext
Europe(Remote), remote, senior, full time, 8+ years
posted 01 Nov 2026
- MS SQL
- LLMs
- Snowflake
- MySQL
- Data Mining
- Tableau
- Text Mining
- Machine Learning
- Python
- SQL
About the role
Title: Senior Data Scientist
Location: Europe(Remote)
Reports to_:_Data Science Manager
Employment Type: Full-time
Vacancy: this is an existing vacancy
As part of the Analytics division of JD 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, 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!
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 would do
· Immersing yourself daily in automotive industry data
· Designing and deploying AI/ML solutions that process, link, and enrich automotive data at scale
· Applying advanced methods such as LLMs, text and data mining, and classical machine learning to detect anomalies and interpret vehicle data
· Conducting advanced model evaluation and optimization
· Managing controlled rollout of data changes, from testing and approval through post-go-live monitoring
· Documenting data workflows in terms of preprocessing logic, quality rules, validation results, and change records
· 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
· Leveraging mastery of Python and SQL for advanced data manipulation
· Applying in-depth knowledge of Snowflake as AI data cloud platform
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