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Data Scientist

Who You Are

You are a highly motivated data scientist/machine learning engineer who will help us reshape the automotive industrya trillion dollar industry. You are or would like to be a full stack data scientist that molds raw data sets into artproduction quality machine learning models. At Fair, you will play a pivotal role in implementing machine learning models across the entire Fair app experience, as well as, running high business impacting analytics that will help us provide the best possible experience for our customers.

What You’ll Do

Collaborate across engineering and business units to help optimize the onboarding, and shopping experience

Design and develop machine learning models, explore new prediction algorithms, construct new features, and research new technologies

Deploy machine learning models as real-time production services

Develop ETL workflows and data warehousing infrastructure

Contribute to our distributed learning platform

What You Have

Bachelor’s degree in computer science or a quantitative discipline

Experienced in machine learning algorithms

– Must have experience using Python!

Ability to work well in a collaborative (and fun) team environment, and an eagerness to contribute ideas, share skills, and develop best practices

Technologies you can expect to work with

Python, Pandas, Jupyter, SQL-Alchemy, Flask

SK-Learn, XGBoost

Airflow, Luigi

Superset, Tableau

Treasure Data, Postgres

Docker, Kubernetes, AWS

Bonus Points:

Advanced degree is a plus

Experience competing in a Kaggle competition

What You’ll Get:

– 100% coverage of medical, dental & vision benefits for employees AND their families
– Equity incentives (it’s only Fair that we are all owners of the company)
– Unlimited vacation package
– Daily catered lunch and fully stocked kitchen
– Cellphone reimbursement
– 401(k)
– Green commuter benefits (1 block from Light rail)
– Paid parking
– Employee referrals rewards
– Diverse & inclusive culture
– Leadership & mentorship programs
– Discount on Fair cars

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