Shift is bringing transparency and trust to the used car industry. Data is core to this transformation, from building best-in-class pricing, to loan decisioning, to logistics optimization, to in-product recommendations. If you’re passionate about using data to fix an enormous, antiquated industry, you’ll fit right in.
Millions of cars are bought and sold in the US every year, but knowing exactly how much your car is worth is a challenge. We believe that fixing the used car industry requires providing customers with fair, detailed pricing reports in beautiful, easy-to-understand interfaces. By combining as much data as we can get our hands on, from the millions of listings available online, to car auction sales, to every vehicle’s specific repair history, we’re building the most accurate, transparent pricing tool in the industry.
As a two-sided marketplace, serving both car buyers and sellers, our vehicle data and pricing models are core to the business. As the first data scientist at Shift, you’ll have a direct, immediate impact on the success of the company. Initial projects will include exploring data, building models, informing product decisions, overseeing experiments, and collaborating closely with engineers on our pricing team. Over time, you’ll play a crucial role in growing and mentoring a team of data scientists that will be involved in nearly every initiative at Shift, including lending, fraud, lead scoring, user acquisition, optimal resource allocation, vehicle routing, and more!
We are a friendly, helpful community of engineers with a diverse background of experience. We espouse autonomy, trust, and learning from each other. The engineering team is excited to have grown to the capacity to support our first full-time data scientist. We believe that embedding data science into our engineering team provides a unique opportunity for significant autonomy and influence fully supported by the engineering resources you need.
As our first data scientist, you’ll lead the design of our data architecture, with support from our engineering team
Build and own our pricing models in collaboration with the engineering and business teams
Guide our data acquisition strategy and priorities
Suggest, run, and analyze experiments across the company
Help develop and mentor a team of data scientists
Knowledge of machine learning techniques, especially intuition for their benefits and drawbacks in real-world applications
Experience wrangling data to explore new model features, build visualizations, and clean data
3+ years of experience working as a data scientist and experience working with multiple data architectures in production
Proficiency in a statistical computing language (such as R or Python) and SQL.
Strong knowledge of statistics and experimental design
Curiosity, desire to learn, passion for providing a great product to customers
Experience mentoring other data scientists, as well as excitement at being an individual contributor to start
(Nice to have, but not required) Production engineering experience. If you have engineering experience, that’s great, and basic coding skills are a must, but you’ll also be strongly supported by engineering for the heavy lifting, code-wise.
EXTERNAL REFERRAL BONUS!
We offer a generous referral bonus for your assistance in helping us find great engineers. You must know the engineer you are recommending, and they should not be someone we’re already talking to. We may also ask you to help court them if needed. Please send your referrals to ****************** and a member of our team will follow up with you!
To apply for this job please visit the following URL: http://itjobpro.com/79178 →