Data Scientist II, Digital Partnerships

Accountabilities:

• • Analyze digital partnership performance to identify opportunities to improve growth, profitability, customer acquisition, and overall partner economics.
  • Design, execute, and evaluate experiments aimed at improving conversion, partner performance, and measurable business outcomes.
  • Develop forecasts, performance models, analytical frameworks, and decision-support tools to inform strategic planning and investment decisions.
  • Build measurement approaches that quantify partner value, incrementality, and broader business impact.
  • Investigate anomalies, monitor trends, and diagnose changes in performance to provide timely and actionable recommendations.
  • Translate ambiguous business questions into structured analytical problems, selecting appropriate quantitative methodologies and clearly communicating conclusions.
  • Partner closely with cross-functional stakeholders across areas such as pricing, underwriting, product, marketing, acquisition, and partnerships.
  • Present analytical findings, recommendations, and tradeoffs effectively to both technical and non-technical audiences.
  • Develop scalable analytical processes and tools that improve consistency, efficiency, and data-driven decision-making across the digital partnerships business.
  • Take ownership of analytical initiatives from problem definition and methodology selection through implementation and delivery of business impact.

  Requirements:

  • Advanced degree in Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative discipline.
  • 3+ years of professional experience applying quantitative and analytical methods to real-world business problems.
  • Strong foundation in statistics, experimentation, causal inference, forecasting, machine learning, or related quantitative methodologies.
  • Proficiency in SQL and Python for data analysis, statistical modeling, and analytical problem-solving.
  • Ability to transform ambiguous business questions into rigorous analytical frameworks and practical recommendations.
  • Strong analytical reasoning, intellectual curiosity, and attention to methodological rigor.
  • Excellent written and verbal communication skills, with the ability to explain complex analytical concepts clearly to diverse audiences.
  • Demonstrated ability to collaborate effectively with cross-functional stakeholders and influence decisions through data.
  • Strong sense of ownership, with a track record of taking projects from initial problem definition through implementation.
  • Ability to work independently while maintaining strong collaboration with business and technical teams.
  • Experience in insurance, financial services, marketplaces, or customer acquisition environments is a plus.
  • Familiarity with attribution, incrementality measurement, forecasting, optimization, pricing, underwriting, risk, or marketing analytics is advantageous.
  • Experience deploying statistical or machine learning models into production environments is a plus.
  • A Master’s or PhD in a quantitative field is advantageous.

  Benefits:

  • Base salary: $119,000–$148,700 per year.
  • Eligibility for bonus and equity compensation.
  • Flexible work-where-it-works-best approach, allowing employees to work remotely from locations across the United States.
  • Opportunity to work on complex, high-impact problems at the intersection of technology, data science, insurance, and digital partnerships.
  • Exposure to cross-functional leadership and the opportunity to influence business strategy through quantitative insights.
  • Opportunity to build scalable analytical tools and processes with direct impact on growth and profitability.
  • Inclusive workplace committed to providing reasonable accommodations throughout the hiring process.
  • Virtual interview process with camera participation required.