Lead Data Scientist

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.

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.

Compensation

• Zone 1: $189,000 - $230,000 TTC (including $170,000 - $202,000 base salary) + equity
• Zone 2: $175,000 - $212,000 TTC (including $158,000 - $186,000 base salary) + equity
• Zone 3: $161,000 - $195,000 TTC (including $145,000 - $172,000 base salary) + equity
• Competitive Compensation: Including annual salary, pre-IPO stock options, and other financial compensation (if applicable)
• Medical, Dental, and Vision Coverage: 100% of premiums covered for you AND all of your dependents
• Unlimited Flexible Time Off: Unlimited FTO in addition to 12 company holidays per year, quarterly “recharge” days, and a week-long holiday break
• Home Office Reimbursement: To cover home office furniture and supplies, monthly home internet, and monthly cell phone (if applicable)
• Health & Wellness Reimbursement: To cover monthly gym membership or other qualifying expenses
• Parental Support: Generous parental and family leave, fertility benefits, and employer-sponsored stipends towards family forming services
• 401k Plan: To support you in your individual retirement goals