[Remote] Staff Data Scientist

Note: The job is a remote job and is open to candidates in USA. Apartment List is looking for a Staff Data Scientist to help attract and match the right renter with the right property at the right time. In this role, you will work on significant data science challenges, including developing machine learning models for renter acquisition and marketplace optimization.ResponsibilitiesDeeply understand customer, marketplace, and business problems through the lens of data, and translate that understanding into clear ML objectives, features, models, and measurement plansDeliver and deploy end-to-end machine learning models, from problem framing and feature engineering through model development, experimentation, launch, monitoring, and iterationBuild zero-to-one models in areas where heuristics or business rules are still in place, and improve existing production models across demand, supply, ranking, personalization, renter intent, and marketplace optimizationApply a strong statistical mindset to model development, experimentation, causal inference, tradeoff analysis, and decision-makingLead ambiguous, high-leverage technical work: define scope, evaluate approaches, manage tradeoffs, and align stakeholders around a clear path forwardPartner closely with Product, Engineering, Design, Analytics, Marketing, GTM and Growth to build ML systems that drive renter value, property partner success, and business performanceCommunicate ML opportunities, tradeoffs, and results clearly to technical and non-technical audiences, including senior stakeholdersMentor and collaborate with other data scientists, helping raise the quality of our modeling, experimentation, and analytical practiceThoughtfully leverage modern AI tools to improve productivity across coding, analysis, documentation, and workflow automationSkills7+ years of industry experience, or equivalent experience, developing, deploying, and iterating on machine learning models in productionA degree in Computer Science, Computer Engineering, Mathematics, Statistics, Economics, Physics, or a related quantitative fieldDeep proficiency in Python and SQL, with comfort working across the full model development lifecycleFamiliarity with standard ML libraries and frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or similar toolsExperience working with cloud platforms; GCP experience is preferred but not requiredExperience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metricsStrong technical and theoretical grounding in statistical learning, modeling, experimental design and analysis, and causal inferenceStrong ability to work through feature engineering, feature selection, hyperparameter tuning, model evaluation, and model optimizationAbility to quantitatively research opportunities, define technical strategy, set clear scope, manage timelines, and drive measurable outcomesComfort communicating and collaborating with cross-functional audiences across Product, Engineering, Design, Analytics, Marketing, GTM and Growth and senior business stakeholdersCuriosity, judgment, and a hunger to dig into uncharted territory and make a meaningful impactExperience optimizing within a two-sided marketplace or similarly complex multi-stakeholder environmentBackground in recommendation systems, ranking, personalization, search, or matchingExperience with performance marketing models, paid acquisition, supply-side optimization, or marketplace incentivesFamiliarity with MLOps practices, ML engineering workflows, model monitoring, Airflow, dbt, or similar infrastructureA master's degree or PhD in a relevant quantitative fieldCompany OverviewApartment List is a smart, simple and seamless renting platform that’s dedicated to making the process fair and transparent for all. It was founded in 2009, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is http://www.apartmentlist.com.Company H1B SponsorshipApartment List has a track record of offering H1B sponsorships, with 2 in 2025, 1 in 2024, 2 in 2023, 4 in 2022, 4 in 2021, 8 in 2020. Please note that this does not guarantee sponsorship for this specific role.