[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.

Responsibilities

• Deeply understand customer, marketplace, and business problems through the lens of data, and translate that understanding into clear ML objectives, features, models, and measurement plans
• Deliver and deploy end-to-end machine learning models, from problem framing and feature engineering through model development, experimentation, launch, monitoring, and iteration
• Build 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 optimization
• Apply a strong statistical mindset to model development, experimentation, causal inference, tradeoff analysis, and decision-making
• Lead ambiguous, high-leverage technical work: define scope, evaluate approaches, manage tradeoffs, and align stakeholders around a clear path forward
• Partner closely with Product, Engineering, Design, Analytics, Marketing, GTM and Growth to build ML systems that drive renter value, property partner success, and business performance
• Communicate ML opportunities, tradeoffs, and results clearly to technical and non-technical audiences, including senior stakeholders
• Mentor and collaborate with other data scientists, helping raise the quality of our modeling, experimentation, and analytical practice
• Thoughtfully leverage modern AI tools to improve productivity across coding, analysis, documentation, and workflow automation

Skills

• 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 related quantitative field
• Deep proficiency in Python and SQL, with comfort working across the full model development lifecycle
• Familiarity with standard ML libraries and frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or similar tools
• Experience working with cloud platforms; GCP experience is preferred but not required
• Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
• Strong technical and theoretical grounding in statistical learning, modeling, experimental design and analysis, and causal inference
• Strong ability to work through feature engineering, feature selection, hyperparameter tuning, model evaluation, and model optimization
• Ability to quantitatively research opportunities, define technical strategy, set clear scope, manage timelines, and drive measurable outcomes
• Comfort communicating and collaborating with cross-functional audiences across Product, Engineering, Design, Analytics, Marketing, GTM and Growth and senior business stakeholders
• Curiosity, judgment, and a hunger to dig into uncharted territory and make a meaningful impact
• Experience optimizing within a two-sided marketplace or similarly complex multi-stakeholder environment
• Background in recommendation systems, ranking, personalization, search, or matching
• Experience with performance marketing models, paid acquisition, supply-side 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

Company Overview

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