Staff Data Scientist, Pricing

Amit érdemes tudni

• Irodai · Korlátozott
• Egyesült Államokbeli irodai pozíció.
• Szint: Lead
• Bitcoin-fókuszú szerep
• Fizetés: nem közölt

Helyszín és jogosultság

Egyesült Államokbeli irodai pozíció.

Bay Area, CA, United States of America

Megbízhatóság: 90%. A végső döntés a munkáltatóé – mindig olvasd el az eredeti hirdetést.

Pozíció

<p>Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.<br><br>So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.<br><br>Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.</p> <h4><strong>The Role</strong></h4> <p>The Data Science team at Block turns insights from our unique datasets into actions that improve the customer experience every day. In this role, we're looking for a Data Scientist to own the modeling and experimentation at the core of how Square prices globally. You'll build the elasticity and willingness-to-pay models, design and run the pricing experiments, and stand up the analytical infrastructure that makes pricing measurable and controllable — shaping pricing strategy and deal-desk automation through the models and experiments you build.</p> <h4><strong>You Will</strong></h4> <ul> <li>Model price elasticity and willingness-to-pay across segments, geographies, and payment methods, and quantify the trade-off between margin, conversion, and merchant retention</li> <li>Design, run, and read out pricing experiments (A/B, difference-in-differences, and bandit-based dynamic tests) and translate results into recommendations that shape strategy</li> <li>Decompose merchant economics across interchange, scheme, and risk-cost layers to identify where pricing can flex and where it can't</li> <li>Build the pricing intelligence that powers Square's agent

Rövidített kivonat. A teljes leírás és a jelentkezés a munkáltató oldalán érhető el.