Job descriptionData Scientist At CARFAX, we pride ourselves on being mission‑focused, helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers, and we help millions of consumers make more‑informed decisions every day. We value a balanced life while tackling challenging projects in a fast‑paced environment. Our four‑day week continues in Summer 2026.
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 machine learning, NLP, and large language models (LLMs), and evaluate where they may be applied.
Requirements
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 and practical experience with machine learning techniques such as regression, tree‑based models, ensemble methods, and neural networks, applied to large, real‑world datasets and production systems.
Experience working with production machine learning 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 working 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.
Benefits
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.
Full benefits list available at https://jobs.jobvite.com/carfax/p/benefits.
Base Salary The anticipated base salary range for this position is CAD $85,500 to $114,000 annually. Final base salary will be determined based on geographical location, experience, and qualifications.
Equal Opportunity Employer Statements CARFAX is an affirmative action/equal opportunity employer and provides 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. CARFAX will provide reasonable accommodations for qualified individuals with disabilities and is a participant in E‑Verify.
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.
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