Data Scientist II, Digital Partnerships

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

📋 Description

• Assess partner performance and pinpoint opportunities to enhance growth, profitability, and customer acquisition economics.

• Create and assess experiments aimed at boosting partner performance, conversion rates, and overall business outcomes.

• Generate forecasts, performance models, and decision-support tools to aid in strategic planning and investment choices.

• Develop measurement frameworks that quantify partner value, incrementality, and overall business impact.

• Explore anomalies, track performance trends, and offer actionable recommendations.

• Present insights and recommendations effectively to both technical and non-technical audiences.

• Establish scalable analytical processes that enhance decision-making within the digital partnerships sector.

• Collaborate closely with cross-functional leaders to tackle complex challenges and deliver measurable business results.

⛳️ Requirements

• Advanced degree in Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative field.

• Over 3 years of experience utilizing quantitative methods to address business challenges.

• Solid foundation in statistics, experimentation, causal inference, forecasting, or machine learning.

• Proficient in SQL and Python for data analysis and modeling tasks.

• Capability to convert ambiguous business inquiries into analytical frameworks and actionable insights.

• Excellent written and verbal communication skills.

• Ability to work efficiently with cross-functional stakeholders.

• Proven ownership and a record of guiding projects from problem identification through to implementation.

• All candidates must appear on camera during virtual interviews.

• Experience in insurance, financial services, marketplaces, or customer acquisition.

• Knowledge of attribution, incrementality measurement, forecasting, or optimization challenges.

• Background in pricing, underwriting, risk, or marketing organizations.

• Experience in deploying statistical or machine learning models in production settings.

• PhD or Master's degree in a quantitative discipline.

🏝️ Benefits

• Bonus eligible.

• Equity eligible.

• Flexible work location across the US.

• Reasonable accommodations available throughout the hiring process.