Senior Data Scientist

Our team works AI-first. You will work with large, imperfect consumer datasets, use AI tools daily as a development partner, and turn model output into recommendations the business can act on. You will partner closely with data engineering, product and marketing.

What You’ll Do

Predictive Modeling

• Own the modeling roadmap for your area, from problem framing through production and ongoing monitoring
• Build cohort and LTV models that inform user acquisition budgets and payback decisions
• Build user segmentation and propensity models that support personalization and targeting
• Improve model accuracy over time through validation, backtesting and new data sources
• Design experiments and causal analyses that measure the true impact of product and marketing changes
• Identify early behavioral signals that predict conversion, churn and long-term value

AI & Data Products

• Apply LLMs and machine learning to classify unstructured text and behavioral signals into interest categories (such as the IAB taxonomy) and product and brand intent, powering personalization and audience targeting
• Partner with data engineering to product ionize models and keep their inputs reliable
• Build internal AI-powered analytics tools and data products

Communication

• Explain model results, assumptions and confidence levels clearly to stakeholders and leadership
• Set modeling standards, documentation and best practices for the team
• Mentor other analysts and data scientists and share best practices across the team

Who You Are

• 5+ years of experience in data science, statistical modeling or machine learning, ideally with consumer app or web data
• Strong Python (pandas, scikit-learn or similar) and advanced SQL
• Experience deploying models to production and monitoring them over time
• Solid grounding in statistics, forecasting and experimentation
• Hands-on experience with LLM APIs, prompt design or building AI-powered data tools
• Daily use of AI tools as a development partner, such as Claude, Claude Code or Claude Cowork
• Sound judgment with incomplete or noisy data; you structure the problem before reaching for a tool
• Strong communication skills, including turning complex analysis into clear business recommendations
• Fluent English and at least 4 hours of overlap with US Eastern business hours (remote roles)

Nice to Have

• Experience with ad-monetized or subscription consumer apps
• Experience with recommendation systems, personalization or audience segmentation for ad targeting
• Experience with ML platforms on AWS or Google Cloud, such as Sage Maker or Vertex AI
• Familiarity with MLOps and orchestration tools such as MLflow, Airflow or dbt
• Familiarity with Bayesian methods, uplift modeling or multi-armed bandits