Highbeam
Data Scientist
New York
Sponsorship not specifiedDetected 223 days ago
Machine LearningData ScienceData VisualizationAgentic AIStatisticsFinancial AnalysisExcelFP&ACustomer SuccessShopifyResearchUnderwriting
About the role
- We are looking for an experienced data scientist to help build the analytical engine behind how we understand customer health, behaviors, product usage, success patterns, and risks across our portfolio of ecommerce brands.
- This role blends data science, customer analytics, financial analysis, and market insights to answer complex questions about how brands grow, what drives profitability, and where the market is headed.
- You'll work cross-functionally with Engineering, Product, CS, GTM, and Capital to explain why customers perform the way they do, and how Highbeam can better serve them.
Responsibilities
- Build a deep, data-driven understanding of each customer
- Build portfolio level intelligence
- Partner with CS, GTM, and Capital teams to analyze behavior across segments, identify high-value opportunities, and explain customer challenges
- Build reporting and dashboards that reveal patterns in product usage, financial outcomes, and customer lifecycle journeys
- Partner with Product to define metrics, craft intelligence features, and identify opportunities for automation and ML
- Highbeam is building the future of business banking and cash management.
Requirements
- 5+ years experience in customer analytics, data science, financial analysis, or a related quantitative field
- Experience analyzing customer behavior, product usage, lifecycle metrics, or financial/transactional datasets
- Ability to synthesize complex data into clear insights and compelling narratives for non-technical audiences
- Familiarity with e-commerce fundamentals (conversion, CAC, LTV, margin structure, inventory cycles) or strong willingness and ability to become an expert quickly
- Comfort working cross-functionally with Product, CS, or GTM teams
- Experience with fintech, e-commerce, lending, or D2C businesses
- Experience leading open-ended financial market research and generating useful insights
- You enjoy working in an idea-meritocratic, low-ego environment
- You are proactive and self-directed, and you excel in ambiguous, fast moving environments
- Strong background in statistics, machine learning, computer science, or quantitative discipline, especially with large data sets. Comfortable working with messy real-world data is a must
- Background in FP&A or consumer insights research
- You love working in-person with a high-performing team
- You care about delivering a polished customer experience
Nice to have
- Chance to join the founding team of a well-funded startup chasing a huge opportunity
- Experience launching a public facing data visualization or DaaS product is a plus
Compensation
- Competitive salary and meaningful equity
Benefits
- Competitive salary and meaningful equity
- Comprehensive health & benefits package
- Stipends for lunch, commute, wellness, and purchasing customer products
- We've raised $42M in equity from Acrew, FirstMark, Mayfield, and Two Sigma Ventures.
- Analyze customer-level financial health, including revenue consistency, margin structure, cashflow, marketing efficiency, inventory cycles, capital usage, and risk indicators
- Create customer health scores, segmentations, and heuristics that the entire company can rely on
Company info
- Benchmark customers against peers to define "healthy" vs "unhealthy" patterns
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This listing is sourced directly from Highbeam's careers page and normalized into a canonical job model.