CarGurus

Senior Data Scientist

CarGurus$144K — $181K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Data Science or related roles.
  • Proficiency in Python and SQL; experience with AWS SageMaker is a plus.
  • Knowledge of standard Machine Learning techniques and their implementation.
  • Experience developing and deploying machine learning models in a production environment.
  • Ability to communicate effectively with both technical and non-technical audiences.
  • Advanced degree in Computer Science, Data Science, or related quantitative field.

Responsibilities

  • Collaborate with product and engineering teams to identify data needs and product requirements.
  • Implement and evaluate machine learning models using Python and AWS SageMaker.
  • Develop and maintain data pipelines using SQL and Snowflake.
  • Work with engineering teams to deploy models into production environments.
  • Assess and report on the performance of deployed models.
  • Design and analyze A/B tests to measure model effectiveness.
  • Present solutions and insights to stakeholders using visualizations and documentation.

Benefits

  • Comprehensive Total Rewards Package including health benefits.
  • Potential for discretionary bonuses and incentives.
  • Eligibility for Restricted Stock Units (RSUs).
  • Opportunity for hybrid work arrangement.
Full Job Description
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


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).

Position Pay Range

$144,000-$181,000 USD

CarGurus may require in-person interviews as part of our hiring process, particularly for positions based in our Boston and Dublin offices. Candidates selected for an in-person interview will be notified in advance. Please be aware that travel expenses are the responsibility of the candidate.

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About CarGurus

CarGurus is an online automotive marketplace that allows users to search for and compare new and used cars. The company was founded in 2006 and is headquartered in Cambridge, Massachusetts. CarGurus has a strong focus on transparency and provides users with information on pricing, dealer reputation, and vehicle history. The company has been recognized for its innovative approach to car shopping and has won several awards for its platform.
Learn more about CarGurus
Size
1,203 employees
Market Cap
$1.5 billion
Industry
Net Income
$77.5 million
Founded
2006
5 Year Trend
+36.9%
Revenue
$551.4 million
NASDAQ

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