Senior Data Scientist

- 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.

- 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

- Curiosity about widely varied datasets and their possibilities for unlocking customer value. Self-motivated to perform exploratory analyses and build proof-of-concept solutions.

- 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

- 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