Join Team CARFAX as a Data ScientistIsn't it time you bragged about where you work? At CARFAX, we do, every day. We pride ourselves on being mission-focused on helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers. We're more than just a company: We help millions of consumers make more-informed decisions every day. We know that our teammates are our most valuable asset, and we value a balanced life while tackling challenging projects in a fast-paced environment. One last thing: Our four-day week continues in Summer 2025!As a Data Scientist, you will be working in the data science team to create machine learning solutions for a new product. You will work collaboratively with data engineers and data mappers to design, build and scale our ambitious machine learning solutions.At CARFAX, we believe in the power of teamwork and value in-person interactions so that we can collaborate and thrive together.This position will require 3 days per week in our Columbia, MO office, subject to change with future business needs.What you'll be doing:

Leading the design, development and deployment of our deep learning, ML and NLP solutions.
Maintaining and improving established, advanced machine learning processes on data mining.
Providing actionable ad hoc analytics insights for internal stakeholders.
Designing and building recurring reports for internal stakeholders to make data-driven decisions.
Using advanced analytical methods to explore and extract additional data value for existing and emerging products.
Documenting analysis results and presenting value to stakeholders.
Creating reusable processes to assist data evaluation and analysis across teams.

What we're looking for:

Master's Degree in Statistics, Data Science or related field
4+ years' experience in SQL/Spark, R, Python
4+ years of experience in building and applying machine learning, predictive modeling, or natural language processing solutions to business problems
Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, boosted ensembles, neural networks, deep learning, etc.
Experience with Named Entity Recognition (NER), Sentiment Analysis, Data Tokenization, Lexical Semantics, Relationship Extraction, etc.
Ability to effectively communicate analysis and insights to all levels of the organization
A passion for continuous learning
Confidence to challenge the status quo

What's in it for you:

Competitive compensation, benefits and generous time-off policies
4-Day summer work weeks and a winter holiday break
401(k) / DCPP matching
Annual bonus program
Casual, dog-friendly, and innovative office spaces
For a comprehensive list of benefits, please visit our website:https://jobs.jobvite.com/carfax/p/benefits

Don't just take our word for it:

10X Virginia Business Best Places to Work
10X Washington Post Top Workplace
9X Washingtonian Great Places to Work
3X St. Louis Post-Dispatch Best Places to Work