Applied Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Create causal machine-learning models to enhance customer offers throughout the sales funnel.

• Examine intricate data sets, pinpoint knowledge gaps, and devise experiments to collect evidence.

• Assess the effects of offer modifications through statistically sound experiments and evaluations.

• Convert research findings and outcomes into actionable recommendations, decision-making strategies, and next steps.

• Develop production-ready models and code for selecting offers.

• Collaborate with Partnerships leadership, Product, Engineering, peer machine-learning teams, and model-risk partners on strategy, implementation, and methodology.

⛳️ Requirements

• Master's degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative discipline.

• Over 2 years of experience in conducting machine-learning, statistical modeling, or applied quantitative research in either an academic or industry environment.

• Proficient in applying causal inference techniques and experimentation to real-world decision-making in an applied-science or data-science framework.

• Expertise in applied statistics, probability, and experimental design utilized for building or assessing models or interventions.

• Experience in production-quality coding with Python, including data manipulation and algorithm implementation.

• PhD in a quantitative field is preferred.

• Familiarity with marketplace optimization, causal machine-learning methods, treatment-effect modeling, supervised learning, model evaluation, feature engineering, and the development of production models is preferred.

🏝️ Benefits

• Competitive compensation that includes base salary, bonus opportunities, and annual equity grants that vest quarterly.

• Retirement benefits featuring a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually.

• Employee Stock Purchase Plan (ESPP) providing discounted stock purchase options for eligible employees (US only).

• Comprehensive health coverage that includes medical, dental, vision, and wellness resources for US employees.

• Supplemental health coverage available for Canada.

• Contributions to Health Savings Accounts for eligible plans (US only).

• Life insurance and disability coverage.

• Paid time off, sick leave, and company holidays.

• Paid family and parental leave.

• Family-oriented benefits that support fertility, parenthood, and caregiving.

• Employee Assistance Program providing mental health support and life-centered resources.

• Financial planning tools and financial concierge services (US only).

• Annual wellness allowance.

• Annual productivity allowance for necessary work tools and resources.

• Team events, all-company updates, and employee resource groups (ERGs).

• Catered lunches and stocked micro-kitchens available at offices in the Bay Area, Austin, Columbus, and New York City.