Hiring: Senior Data Scientist Company: CarGurus Location: Boston, MA Job Posted Time: 2026-09-03 11:11:37 Employment Type: Hybrid Target Skills & Keywords : AWS, Data Pipeline, Machine Learning, Python, SQL, SageMaker, Snowflake About the job Required Skills: •Partner with product and engineering teams in CarGurus UK and Canada to understand their product requirements and data assets •Implement, train, and evaluate machine learning models using Python and AWS SageMaker. •Develop and maintain data pipelines to supply training and inference data for models, using SQL and Snowflake. •Partner cross-functionally with engineers to deploy models to production •Evaluate performance of production-deployed models •Design A/B tests of the Data Science team’s models and analyze their results •Communicate solutions to stakeholders through written documentation, demos and presentations, and data visualizations •Partner cross-functionally with other data scientists, machine learning engineers, and business stakeholders to scope, design, and implement machine learning projects Qualifications: •Curiosity about widely varied datasets and their possibilities for unlocking customer value. Self-motivated to perform exploratory analyses and build proof-of-concept solutions. •Proven experience turning data into successful products •Knowledge of standard Machine Learning techniques for supervised and unsupervised learning across structured and unstructured datasets. Comprehensive knowledge of, and real-world experience with, measurement, evaluation, and testing of models. •Proficiency in Python or similar languages widely used in the data science community •Demonstrated capacity to communicate technical details and analytical findings to both technical and non-technical audiences •Advanced degree (or proven experience) in Computer Science, Data Science, Mathematics, or any quantitative science which makes use of advanced data analytics or statistical or machine learning techniques •The displayed range represents the expected annual base salary / On-Target Earnings (OTE) for this position. On-Target Earnings (OTE) is inclusive of base salary and on-target commission earnings, which applies exclusively to sales roles. •Individual pay within this range is determined by work location and other factors such as job-related skills, experience, and relevant education or training. •This annual base salary forms part of a comprehensive Total Rewards Package. In addition to benefits, this role may qualify for discretionary bonuses/incentives and Restricted Stock Units (RSUs). Compensation: •$144,000 - $181,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!