Data Scientist

Pickle•New York City, NY

12d•Onsite

About The Position

Pickle is a peer-to-peer rental marketplace unlocking the value of the billions of underutilized items sitting in consumers’ closets. We make it easy to rent high-quality items exactly when you need them — with fast, convenient fulfillment and an on-demand experience that’s as seamless as shopping. We’re building a new kind of commerce layer: one powered by dynamic local supply, where access is more convenient. Pickle is now live nationwide and scaling rapidly in key local markets including NYC, LA, and Miami . Our marketplace already features 300K+ items listed for rent , and we’re just getting started. What makes Pickle different is the combination of incredible peer-to-peer inventory , industry-leading convenience (under 2 days nationwide and under 2 hours locally ), and an on-demand model with no subscriptions — users rent what they want, when they want it. Backed by our Series A funding raised in early 2025 from FirstMark and Craft , we’re scaling quickly and building the future of access-driven shopping. About The Role You will be the strategic partner to the Founders, answering the billion-dollar question: How do we scale efficiently? You will be the detective solving the complex puzzle of a two-sided marketplace. One day, you might be modeling price elasticity to determine how a 5% discount impacts contribution margin. The next, you’ll be digging into referral data to engineer a viral loop that lowers our CAC by half. You will hunt down the "why" behind every chart, discovering the invisible friction points that hold us back and the hidden behaviors that unlock massive growth. If you are a "Grinder"—someone who loves the thrill of a hard problem and can’t put it down until you’ve found the solution—this is your playground.

Requirements

The "Grinder" Mentality: You are relentlessly curious. You are the type of person who can't put something down until you figure out the why.
Growth Native: You speak the language of growth: CAC, LTV, ROAS, K-Factor, Churn, and Cohorts. You understand that "Data Science" is a tool to make money and grow the user base.
Product Fluency : You understand product growth loops and can quickly execute and extract insights from demand funnels and A/B tests
5+ Years Experience: Ideally in a Consumer Marketplace or high-growth B2C app. You have seen how a company scales and understand the data infrastructure needed to support it. Note: We are open to less experience if you have exceptional raw talent and a portfolio of solving complex growth problems.
Technical Fluency: Expert-level SQL . Proficient in Python/R for modeling. Experience with growth stacks (PostHog, Mixpanel, AppsFlyer, Segment) and visualization tools.

Responsibilities

Design and test dynamic pricing models and incentive structures (e.g., first-order discounts, owner bonuses).
Model our acquisition channels (Organic, Paid, Referral, Ambassadors).
Analyze our referral and sharing behaviors.
Analyze how inventory levels drive organic growth.
Identify the specific user behaviors that lead to long-term retention.
Build models to identify at-risk users before they leave, allowing our CX team to intervene.
Own the granular analysis of our demand and supply funnels.
Help the product team design valid experiments.