Data Scientist

Highbeam is building the future of business banking and cash management.

Our platform combines AI agents, automated financial workflows, and integrated financial products that save brands time and money.

Customers have generated billions in sales and include well-known brands such as Cuts, Tushy, NYON, Sabah, Still Here, Alice Mushrooms, Original Grain, birddogs, and more.

Our team includes alumni of Shopify, Square, Toast, Rippling, and McKinsey.

We’ve raised $42M in equity from Acrew, FirstMark, Mayfield, and Two Sigma Ventures.

About this 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 e-commerce 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.

If you love turning messy real‑world data into crisp insights, building heuristics for “what good looks like,” and uncovering the drivers behind customer success, this role is for you.

What you’ll do

Build a deep, data‑driven understanding of each customer

• 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
• Identify early signs of distress, churn risk, and growth potential

Build portfolio level intelligence

Produce insights that guide customer‑facing teams

Translate insights into strategy

Qualifications

Required

Preferred

You'll thrive at Highbeam if...

What we offer

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