Lead Data Scientist

Apartment ListRemote within the US,
$161,000 - $230,000Remote

About The Position

Apartment List is looking for a Lead Data Scientist to build, deploy, and improve machine learning models that power our two-sided rental marketplace. In this role, you’ll work on meaningful data science problems across demand- and supply-side modeling — from renter acquisition and intent signals to ranking, personalization, and marketplace optimization. You’ll take ownership of projects end-to-end, from problem framing through production launch and measurement, and collaborate closely with Product, Engineering, and Analytics along the way. Our Data Science team has a strong foundation. Over the last several years, we’ve delivered 40%+ incremental revenue growth through rigorously A/B tested machine learning models — and there’s still a tremendous amount of opportunity ahead. This is a role for someone who is ready to take on complex, well-scoped projects independently and grow into increasingly ambiguous, high-leverage work.

Requirements

  • 4+ years of industry experience developing and deploying machine learning models in production, end-to-end.
  • A degree in Data Science, Computer Science, Computer Engineering, Mathematics, Statistics, Economics, Physics, or a related quantitative field.
  • Deep proficiency in Python and SQL, with comfort across the full model development lifecycle.
  • Familiarity with standard ML libraries and frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or similar.
  • Experience working with cloud platforms (GCP preferred but not required).
  • Strong grounding in statistical learning, experimental design, and model evaluation.
  • Ability to work through feature engineering, feature selection, hyperparameter tuning, and model optimization independently.
  • Comfort communicating and collaborating with cross-functional partners across Product, Engineering, and Analytics.

Nice To Haves

  • Experience in a two-sided marketplace or multi-stakeholder environment.
  • Background in recommendation systems, ranking, personalization, or search.
  • Familiarity with MLOps practices, model monitoring, Airflow, dbt, or similar infrastructure.
  • Experience with performance marketing models, paid acquisition, or supply-side optimization.
  • A master’s degree or higher in a relevant quantitative field.

Responsibilities

  • Translate customer, marketplace, and business problems into clear ML objectives, features, models, and measurement plans.
  • Build, deploy, and iterate on production machine learning models across ranking, personalization, renter intent, demand-side acquisition, and supply-side optimization.
  • Own projects end-to-end — from feature engineering and model development through A/B experimentation, launch, and monitoring.
  • Apply a strong statistical mindset to model development, evaluation, causal inference, and tradeoff analysis.
  • Partner with Product, Engineering, and Analytics to align on success metrics, deployment plans, and downstream impact.
  • Communicate technical findings and model tradeoffs clearly to both technical and non-technical stakeholders.
  • Leverage AI tools to improve your productivity across coding, analysis, documentation, and workflow automation.

Benefits

  • Impact: Work on ML systems that directly shape the renter experience, property partner outcomes, 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, collaborative, and intellectually curious.
  • Influence: Have a strong voice within R&D and across the business, helping shape product, marketplace, and company strategy through data science.
  • A critical function: Help build and scale one of the most important technical capabilities at Apartment List.
  • Culture: Work in a virtual-first environment that allows you to work from anywhere in the U.S.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service