This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist II, Digital Partnerships based in United States.
This role sits at the intersection of data science, customer acquisition, pricing, underwriting, and strategic partnerships.
You will use advanced quantitative methods to optimize the performance and economics of a rapidly evolving digital partnerships channel.
Your work will directly influence growth, profitability, conversion, partner performance, and investment decisions.
You’ll design experiments, build forecasts and measurement frameworks, investigate performance trends, and turn complex data into actionable recommendations.
The role offers significant exposure to cross-functional leaders and business-critical decisions in a technology-driven environment.
You’ll have the opportunity to solve ambiguous problems while building scalable analytical processes that improve how teams make decisions.
This is an ideal opportunity for a curious, rigorous data scientist who enjoys connecting sophisticated analysis with tangible business outcomes.
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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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