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Two Sigma Ventures Jobs (NOW HIRING)

Highbeam, Inc

Data Scientist

New York, NY · On-site

$200K - $225K/yr

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 ...

Sigma Computing

Technical Sourcer

San Francisco, CA · On-site

$110K - $120K/yr

Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

Sigma Computing

Engineering Manager

San Francisco, CA · On-site

$230K - $270K/yr

Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

Sigma Computing

Emerging Account Executive

New York, NY · On-site

$80K - $90K/yr

Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

Sigma Computing

Technical Support Engineer

New York, NY · On-site

$90K - $125K/yr

Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

Sigma Computing

Solution Engineer

Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and ... The round was led by Princeville Capital, with new strategic investors Databricks Ventures ...

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All JobsTwo Sigma Ventures Jobs

Two Sigma Ventures information

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$22.5K

$80.8K

$143.5K

How much do two sigma ventures jobs pay per year?

As of Jun 9, 2026, the average yearly pay for two sigma ventures in the United States is $80,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $104,000.00 per year, depending on experience, location, and employer.

What is Two Sigma Ventures?

Two Sigma Ventures is the venture capital arm of Two Sigma, a technology-driven investment firm. The venture division focuses on investing in early-stage startups that leverage data science, machine learning, and advanced engineering to solve significant problems. They provide not only capital but also access to a network of experts and resources to help startups grow. Two Sigma Ventures invests across various industries, including fintech, healthcare, and enterprise software.

What are the key skills and qualifications needed to thrive as a Venture Capital Associate at Two Sigma Ventures, and why are they important?

To thrive as a Venture Capital Associate at Two Sigma Ventures, you need strong analytical skills, financial modeling expertise, and a background in business, finance, or quantitative fields. Familiarity with investment evaluation tools, deal sourcing platforms, and proficiency in Excel or data analytics software are typically required. Outstanding interpersonal skills, intellectual curiosity, and the ability to communicate complex ideas clearly set top performers apart. These skills are vital for identifying promising startups, conducting due diligence, and building strong relationships within the venture ecosystem.

What is the difference between Two Sigma Ventures vs Two Sigma Data Scientist?

AspectTwo Sigma VenturesTwo Sigma Data Scientist
Required CredentialsTypically requires venture capital, finance, or business background; some technical knowledgeRequires strong statistical, programming, and data analysis skills; advanced degree often preferred
Work EnvironmentStartup-like, focus on investments, strategic partnershipsResearch-focused, data-driven environment, analyzing large datasets
Employer & Industry UsageVenture capital arm of Two Sigma, investing in startupsPart of Two Sigma's technology team, applying data science to investment strategies

Two Sigma Ventures focuses on investing in startups and strategic growth, requiring business and finance expertise. In contrast, Two Sigma Data Scientists analyze data to inform investment decisions, requiring strong technical and analytical skills. Both roles operate within the same company but serve different functions—one in venture investing, the other in data analysis for investment strategies.

What are the typical responsibilities and challenges for an Associate at Two Sigma Ventures?

Associates at Two Sigma Ventures are responsible for sourcing and evaluating potential investment opportunities, conducting market research, and supporting portfolio companies. A key challenge in this role is balancing the fast pace of deal flow with the need for thorough due diligence and analysis. Associates frequently collaborate with partners, entrepreneurs, and other team members to assess startups and execute investments. The role offers significant exposure to both the venture capital and technology sectors, which can provide valuable experience for career advancement within the industry.
More about Two Sigma Ventures jobs
What states have the most Two Sigma Ventures jobs? States with the most job openings for Two Sigma Ventures jobs include:
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Two Sigma Ventures jobs near you
Infographic showing various Two Sigma Ventures job openings in the United States as of June 2026, with employment types broken down into 9% Locum Tenens, 3% Internship, 83% Full Time, 3% Part Time, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $80,839 per year, or $38.9 per hour.
Data Scientist

Data Scientist

Highbeam, Inc

New York, NY • On-site

$200K - $225K/yr

Full-time

Medical, PTO

Posted 26 days ago

Job description

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 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.
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 St. Andrew Station.
  • Generous PTO
  • Comprehensive health & benefits package
  • Stipends for lunch, commute, wellness, and purchasing customer products
  • Yearly offsite-last year we went to Mexico City!

Apply