Data Scientist

About Pickle

Pickle is a peer-to-peer rental marketplace unlocking the value of 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 as seamless as shopping. We're building a new kind of commerce layer powered by dynamic local supply, where access is more convenient than ever before.

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 sets us apart 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. Backed by 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 CAC by half. You will hunt down the "why" behind every chart, discovering invisible friction points and hidden behaviors that unlock massive growth.

If you are a "Grinder"—someone who loves hard problems and can't put it down until you've found the solution—this is your playground.

Key Responsibilities

Growth Strategy & Acquisition

• Pricing & Incentive Strategy: Design and test dynamic pricing models and incentive structures (first-order discounts, owner bonuses). Mathematically determine how to drive demand and conversion without eroding contribution profit margins, ensuring every dollar of discount generates long-term ROI.
• The Growth Equation: Model acquisition channels (Organic, Paid, Referral, Ambassadors). Identify which channels have the highest LTV/CAC ratio and recommend where to double down investment.
• Viral Loops: Analyze referral and sharing behaviors. Calculate K-factor (virality) and identify product changes to keep users as your best marketing channel.

Marketplace Liquidity & Retention

• Supply-Led Growth: Analyze how inventory levels drive organic growth. Determine optimal owner acquisition targets and their impact on demand-side behavior and unit economics.
• Retention Analytics: Build cohort analyses and churn models to understand which segments (renters and owners) generate lifetime value. Identify interventions that improve repeat rental rates.
• Two-Sided Matching: Optimize the balance between supply and demand to minimize friction and maximize conversion rates across both marketplace sides.

Product & Experimentation

• Partner with Product and Engineering to design, execute, and analyze A/B tests that validate hypotheses and drive data-informed decisions.
• Build dashboards and automated reporting to track KPIs across acquisition, retention, and monetization.
• Communicate insights clearly to leadership, translating complex analyses into actionable recommendations.

This is a high-impact role for someone who combines analytical rigor with business acumen—someone who can move fast, asks the right questions, and isn't satisfied until they've unlocked the answer.

💰 Compensation not publicly listed. Market estimate for similar roles: from $125K, varying by experience and location.