Highbeam Research
Location
New York, Toronto
Employment Type
Full time
Location Type
On-site
Department
Engineering
Compensation $160K – $200K • Offers Equity
Compensation will depend on the location and experience level.
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
Conduct quantitative research across the entire platform and market sector to understand themes in e-commerce: revenue volatility, seasonality, acquisition dynamics, category-level differences, margin pressures, discounting trends, etc
Benchmark customers against peers to define “healthy” vs “unhealthy” patterns
Produce insights that guide customer-facing teams
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
Surface actionable insights to improve activation and strengthen customer relationships
Translate insights into strategy
Inform underwriting models with customer behavior and financial patterns
Partner with Product to define metrics, craft intelligence features, and identify opportunities for automation and ML
Enable GTM to tell more compelling customer stories grounded in data
Qualifications Required
5+ years experience in customer analytics, data science, financial analysis, or a related quantitative field
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
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
Preferred
Experience with fintech, e-commerce, lending, or D2C businesses
Background in FP&A or consumer insights research
Experience leading open-ended financial market research and generating useful insights
Experience launching a public facing data visualization or DaaS product is a plus
You’ll thrive at Highbeam if...
You love working in-person with a high-performing team
You enjoy working in an idea-meritocratic, low-ego environment
You are proactive and self-directed, and you excel in ambiguous, fast moving environments
You care about delivering a polished customer experience
Bonus: You have experience working in fintech, AI or early-stage startups
What we offer
Chance to join the founding team of a well-funded startup chasing a huge opportunity
Competitive salary and meaningful equity
Great location: Our NYC office is in NoHo, a short walk from the A,C,E · B,D,F,M · N,Q,R,W · 1 · 6 trains. Our Toronto office is downtown near Osgoode Station.
Generous PTO
Comprehensive health & benefits package
Stipends for lunch, commute, wellness, and purchasing customer products
Yearly offsite—most recently we went to Mexico City!
Compensation Range: $160K - $200K
#J-18808-Ljbffr
New York, Toronto
Employment Type
Full time
Location Type
On-site
Department
Engineering
Compensation $160K – $200K • Offers Equity
Compensation will depend on the location and experience level.
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
Conduct quantitative research across the entire platform and market sector to understand themes in e-commerce: revenue volatility, seasonality, acquisition dynamics, category-level differences, margin pressures, discounting trends, etc
Benchmark customers against peers to define “healthy” vs “unhealthy” patterns
Produce insights that guide customer-facing teams
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
Surface actionable insights to improve activation and strengthen customer relationships
Translate insights into strategy
Inform underwriting models with customer behavior and financial patterns
Partner with Product to define metrics, craft intelligence features, and identify opportunities for automation and ML
Enable GTM to tell more compelling customer stories grounded in data
Qualifications Required
5+ years experience in customer analytics, data science, financial analysis, or a related quantitative field
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
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
Preferred
Experience with fintech, e-commerce, lending, or D2C businesses
Background in FP&A or consumer insights research
Experience leading open-ended financial market research and generating useful insights
Experience launching a public facing data visualization or DaaS product is a plus
You’ll thrive at Highbeam if...
You love working in-person with a high-performing team
You enjoy working in an idea-meritocratic, low-ego environment
You are proactive and self-directed, and you excel in ambiguous, fast moving environments
You care about delivering a polished customer experience
Bonus: You have experience working in fintech, AI or early-stage startups
What we offer
Chance to join the founding team of a well-funded startup chasing a huge opportunity
Competitive salary and meaningful equity
Great location: Our NYC office is in NoHo, a short walk from the A,C,E · B,D,F,M · N,Q,R,W · 1 · 6 trains. Our Toronto office is downtown near Osgoode Station.
Generous PTO
Comprehensive health & benefits package
Stipends for lunch, commute, wellness, and purchasing customer products
Yearly offsite—most recently we went to Mexico City!
Compensation Range: $160K - $200K
#J-18808-Ljbffr