Applied Scientist

📋 Description

• Analyze historical model and campaign performance to improve predictive effectiveness and marketing
• Develop, test, and refine ML models, researching features, modeling approaches, and architectures.
• Design rigorous experiments to measure causal impact and guide business decisions.
• Work with complex datasets, building reusable data pipelines, metrics, and methods for model
• Translate business challenges into structured research questions and production-ready solutions.
• Collaborate with ML, Growth, and Marketing Platform Engineering stakeholders throughout research

🎯 Requirements

• Master’s degree in Mathematics, Statistics, Economics, Operations Research, or related quantitative
• Experience applying statistical and ML techniques to data science, modeling, or research problems.
• Strong Python skills for data analysis, preparation, and ML model development.
• Practical experience with causal inference and experimental design, including rigorous evaluation.
• Ability to work across exploratory data analysis, ML research, experimentation, and production
• Strong analytical and problem-solving skills with ability to translate business needs into research.

🎁 Benefits

• Competitive compensation: U.S. remote base salary range of $141,500–$196,000 USD, depending on
• Performance and equity: Target bonus opportunities and annual equity grants that vest quarterly.
• Retirement benefits: 401(k) with company match up to $15,000 annually.
• Health coverage: Medical, dental, vision, and wellness benefits, with HSA contributions for
• Financial benefits: Employee Stock Purchase Plan with discounted options for eligible U.S.
• Income protection: Life insurance and disability coverage.