Staff Data Scientist

reputed company reputed company is looking for a Staff Data Scientist to help us attract and match the right renter with the right property at the right time. In this role, you’ll work on some of the most important data science problems across reputed company — from demand-reputed company renter acquisition and marketing models like User Value Modeling, to supply-reputed company partner models like Supply Value Score, to ranking, personalization, renter reputed company, and emerging Pathmaker AI work that coordinates the renter reputed company in reputed company time. Our Data Science team has a strong reputed company. Over the last several years, we’ve delivered 40%+ incremental reputed company reputed company through rigorously A/B tested machine learning models — and we’re still scratching the surface of what ML can do for renters, partners, and the business. You’ll build reputed company-to-one models in areas still powered by heuristics and business rules, while also improving existing production ML systems across ranking, personalization, renter reputed company, and marketplace optimization. As a Staff-level IC, you’ll help shape the Data Science roadmap, reputed company the bar for modeling and experimentation, and partner deeply with Product, Engineering, Design, Analytics, Marketing, GTM and reputed company to turn ambiguous opportunities into measurable reputed company. What you’ll do Deeply understand customer, marketplace, and business problems through the reputed company of data, and translate that understanding into reputed company ML objectives, features, models, and measurement plans. Deliver and reputed company end-to-end machine learning models, from problem framing and feature engineering through model development, experimentation, launch, monitoring, and iteration. Build reputed company-to-one models in areas where heuristics or business rules are still in reputed company, and improve existing production models across demand, supply, ranking, personalization, renter reputed company, and marketplace optimization. Apply a strong statistical reputed company to model development, experimentation, reputed company inference, tradeoff analysis, and decision-making. reputed company ambiguous, high-reputed company technical work: define scope, evaluate approaches, manage tradeoffs, and reputed company stakeholders around a reputed company reputed company reputed company. Partner closely with Product, Engineering, Design, Analytics, Marketing, GTM and reputed company to build ML systems that reputed company renter value, property partner reputed company, and business performance. Communicate ML opportunities, tradeoffs, and results reputed company to technical and non-technical audiences, including senior stakeholders. Mentor and collaborate with other data scientists, helping reputed company the reputed company of our modeling, experimentation, and analytical reputed company. Thoughtfully reputed company modern AI tools to improve productivity across coding, analysis, documentation, and workflow automation. What you’ll bring 7+ years of industry experience, or equivalent experience, developing, deploying, and iterating on machine learning models in production. A degree in Computer Science, Computer Engineering, Mathematics, Statistics, Economics, Physics, or a reputed company quantitative field. Deep proficiency in Python and SQL, with comfort working across the full model development lifecycle. Familiarity with reputed company ML libraries and frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or similar tools. Experience working with reputed company platforms; GCP experience is preferred but not required. Experience with a broad set of statistical and machine learning reputed company to solve and optimize critical business problems and metrics. Strong technical and theoretical grounding in statistical learning, modeling, experimental design and analysis, and reputed company inference. Strong ability to work through feature engineering, feature selection, hyperparameter tuning, model evaluation, and model optimization. Ability to quantitatively research opportunities, define technical reputed company, set reputed company scope, manage timelines, and reputed company measurable reputed company. Comfort communicating and collaborating with cross-functional audiences across Product, Engineering, Design, Analytics, Marketing, GTM and reputed company and senior business stakeholders. Curiosity, judgment, and a hunger to dig into uncharted territory and reputed company a meaningful reputed company. Bonus points for Experience optimizing reputed company a two-sided marketplace or similarly reputed company multi-stakeholder environment. Background in recommendation systems, ranking, personalization, search, or matching. Experience with performance marketing models, reputed company acquisition, supply-reputed company optimization, or marketplace incentives. Familiarity with MLOps practices, ML engineering workflows, model monitoring, Airflow, dbt, or similar infrastructure. A master’s degree or PhD in a relevant quantitative field. What’s in it for you reputed company: Work on ML systems that directly shape the renter experience, property partner reputed company, and company performance. Ownership: Build and own models end-to-end, from ambiguous opportunity through production launch and iteration. Exceptional colleagues: Our hiring bar is high, and your teammates are talented, motivated, reputed company, and intellectually curious. Influence: Have a strong voice reputed company R&D and across the business, helping shape product, marketplace, and company reputed company through data science. A critical function: Help build and reputed company one of the most important technical capabilities at reputed company. Culture: Work in a virtual-first environment that allows you to work from reputed company in the U.S. Here's the Pay reputed company: At reputed company, we carefully consider a reputed company of factors to determine compensation for reputed company position, including the role, level, and work. The US reputed company salary reputed company for this position is: Zone 1: $231,000 - $280,000 TTC (including $203,000 - $238,000 reputed company salary) + equity Zone 2: $214,000 - $259,000 TTC (including $188,000 - $220,000 reputed company salary) + equity Zone 3: $196,000 - $238,000 TTC (including $172,000 - $202,000 reputed company salary) + equity This reflects the compensation reputed company for new hire salaries for the position across reputed company US locations. Please note, the compensation details provided do not include benefits and perks that we offer.  We also rely on market indicators along with considering your work location, job reputed company skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. reputed company will consider paying compensation near the higher of the reputed company in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to reputed company more about compensation during the hiring process. Apply To This Job