About
Data Scientist at CARFAX. Join a team focused on accuracy, integrity, and helping millions of consumers make informed decisions. This role supports a four-day work week and a collaborative, fast-paced environment. What You’ll Be Doing
Develop, deploy, and maintain machine learning and NLP models used in production systems Monitor model performance, data drift, and model health, and support model retraining and improvements Contribute to new data science initiatives, particularly in NLP, text processing, and data decoding projects Work with large structured and unstructured datasets to build scalable machine learning solutions Collaborate with data engineers and product teams to deploy and scale machine learning models in cloud environments Apply NLP techniques such as entity recognition, text classification, document processing, and information extraction Communicate analysis results, model performance, and insights to stakeholders Build reusable tools, processes, and documentation to improve data science workflows and model lifecycle management Stay current with new developments in ML, NLP, and large language models (LLMs), and evaluate applicable use cases To Be Considered For This Role
Master’s Degree in Statistics, Data Science, Computer Science, or a related field 4+ years of experience in SQL/Spark, R, Python 4+ years of experience building and applying machine learning or NLP models to business problems Strong understanding of ML techniques (regression, tree-based models, ensemble methods, neural networks) with experience applying them to large, real-world datasets and production systems Experience with production ML systems, including model monitoring, performance tracking, and model improvements Experience with NLP techniques such as Named Entity Recognition (NER), text classification, sentiment analysis, tokenization, or information extraction Experience with large datasets and distributed data processing frameworks (e.g., Spark) Experience with cloud platforms (AWS, GCP, or Azure) Ability to work independently, prioritize tasks across multiple projects, and contribute new ideas and initiatives Passion for continuous learning and improving data science processes 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 About CARFAX And S&P Global Mobility
S&P Global has recently announced the intent to separate our Mobility Segment into a standalone public company. CARFAX, part of S&P Global Mobility, helps millions of people every day confidently shop, buy, service and sell used cars with innovative solutions powered by CARFAX vehicle history information. CARFAX owns the world’s largest vehicle history database and is nationally recognized as a top workplace by The Washington Post and Glassdoor. S&P Global Mobility is a division of S&P Global (NYSE: SPGI). US Equal Opportunity Employer Statement
CARFAX is an Affirmative Action/Equal Opportunity Employer. It is the policy of CARFAX to provide equal employment opportunity to all persons regardless of race, color, sex, pregnancy, religion, national origin, age, ancestry, citizenship status, veteran status, military status, disability or handicap, sexual orientation, genetic information or any other status protected by federal, state or local law. In addition, CARFAX will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. We are a participant in E-Verify. Canadian Equal Opportunity Employer Statement
CARFAX Canada is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. We’re committed to providing accommodations by request for candidates taking part in all aspects of the recruitment and selection process. For a confidential inquiry or to request an accommodation, please contact your recruiter or email [email protected].
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Languages
- English
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