Senior Data Science Engineer


Santa Monica, CA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 05/04/2021
  • Website:
  • Company Address: 1540 2nd St. Fl 2, Santa Monica, CA, 90401

About Fair

Fair is an automotive FinTech company that’s revolutionizing car buying by offering unprecedented freedom, flexibility and an end-to-end mobile experience.

Job Description

The Data Science and Machine Learning team at Fair is part of the Engineering organization and oversees risk, vehicle valuation, and personalization efforts. We usually run a few steps ahead of other engineering team and work with product leads frequently where DS techniques can be used to improve our product and customer experience. 

You will report to the Data Science Manager and your role will involve the development of pipelines and backend services that host machine learning models for all projects. You will model application R&D and support backend engineering teams with service integrations and analytics teams for goal analysis.


  • Work with other engineering and teams to help improve the shopping and ownership experience at Fair
  • Brainstorm, scope and develop ideas that influence goals
  • Design machine learning models, associated pipelines, explore new prediction algorithms, construct new features, and research new technologies
  • Contribute to our distributed learning and deployment platform

Required Qualifications:

  • At least 3 years of experience as a Data Scientist/Machine learning engineer with a focus on building and deploying production facing ML and ETL pipelines
  • Development experience in Python
  • Experience with standard supervised (especially decision trees) and unsupervised learning methods, time series analysis and causal inference
  • Development experience with scikit-learn, tensorflow/keras, XGBoost or LightGBM
  • Bachelor’s degree in computer science or a quantitative discipline

Desired Qualifications:

  • Experience with the following - Golang or Ruby, running multi-armed A/B tests, deep learning, NLP techniques and kaggle competitions

Our Benefits:

  • 100% coverage of medical, dental and vision benefits for employees AND their families
  • Equity incentives
  • Unlimited vacation package
  • Up to four months 100% paid parental leave
  • Cell Phone reimbursement
  • 401(k)
  • Employee referrals rewards
  • Diverse and inclusive culture

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.