Data Science - Pricing and Marketplace

About Presto 

Read about our $15M seed fund raise on TechCrunch.

Our mission is to build an all-electric future, one magical charging experience at a time. Presto is the leading EV charging platform in the US that helps fleets and their drivers access charging across networks in a seamless, single app and API. 

The largest EV fleets across sectors use Presto including rental car companies such as Hertz, Avis, Zipcar, mobility platforms like Uber and last-mile logistics companies. This rapid adoption is due to an exceptional experience (top-rated charging app on both iOS and Android), the highest density of chargers and custom fleet tools.

Founded by Ashwin Dias and J.J. Raynor, the team combines deep marketplace leadership from Uber and EV experience from Tesla, Rivian, and more. 

Investors include Union Square Ventures, Congruent Ventures, and Powerhouse Ventures.

Learn more at www.prestocharging.com, and check out our app

The role

We’re looking for a Data Scientist to build our pricing engine. As a platform that matches demand and supply, our dynamic pricing is used to balance the marketplace and improve utilization for our charging partners. For users, price is a critical factor and influences conversion, usage frequency, and retention. This role will own the pricing engine and incentive budget with the goal of optimizing ROI.

You will report to and work closely with Jay Menon, Head of Product.

You should align with our values:

1. Builder: You create, you build. You get things done. 

2. Customer-first: You live the customer experience and make it better.

3. First-principles learner: You approach problems by questioning assumptions and relying on data to find the right solution. You learn fast and go deep.

4. Team player: You are individually exceptional but always play as a team.

5. Mission-oriented: You care about electrification. Ideally, you also drive an EV.

6. Kind: You are kind and will help create a fun and supportive workplace.

You will be responsible for

Pricing product strategy 

• Define how price is set for charging stations and users

• Design experiments to test financial incentives in order to improve conversion and retention

• Develop dynamic pricing models to maximize conversion, usage and margin.

• Competitor Analysis

System design

• Define how tariff, cost and price is stored and calculated in our databases

• Create tools/dashboards for internal users to view and make adjustments

Incentive budget deployment

• Define and measure price elasticity of users

• Work with finance on incentive budget and impact on margin

• Run experiments to optimize spend ROI 

Qualifications/skills:

• Experience in data science, analytics preferably in a marketplace, airline, payments or energy-related industry

• Strong understanding of pricing models, elasticity, and behavioral economics

• Experience with data-driven decision-making, A/B testing, and working with large datasets

• Comfort with SQL, analytics tools (R, Tableau, Looker, etc.), and basic statistical analysis

• Passion for the problem you will be solving 

Location: San Francisco Bay Area or Denver

Comp and Benefits: Presto provides attractive medical, dental, vision, and voluntary life insurance benefits and competitive salaries

Apply: Send the following details to letsbuild@prestocharging.com

1. Tell us about 1 project you worked; what was the problem? how did you approach it? What was the impact of your work?

2. Download the Presto app and tell us how you would improve/adjust our prices. We have the ability to set the price, but it affects our margin.

3. Share your LinkedIn profile