hybrid
Senior Data Scientist
Data Scientist
As a Senior Data Scientist focused on international products, you will implement, train, and test machine learning models for CarGurus' UK and Canada markets. Key responsibilities include partnering with product and engineering teams, developing data pipelines, and evaluating model performance for areas like Search Ranking and Recommendations.
About the role
Role overview
As a member of the Data Science team with a focus on CarGurus’s international products, the Senior Data Scientist, International will be responsible for implementing, training and testing machine learning models in support of CarGurus’s fastest growing markets in the UK and Canada. Potential areas of support and ownership include Search Ranking, Recommendations, and Instant Market Value algorithms.
What you'll do
- 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.
- Collaborate 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
- Collaborate with other data scientists, machine learning engineers, and business stakeholders to scope, design, and implement machine learning projects
What you'll bring
- 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.
- Experience deploying and/or maintaining machine learning services in production
- Proficiency in Python or similar languages widely used in the data science community
- Proficiency in SQL
- Ability 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