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Commission Venture Capital Data Science Jobs (NOW HIRING)

Sr. Reporter, Venture Capital

Seattle, WA · On-site

$100K - $130K/yr

Collaborate with PitchBook research analysts, data analysts and data visuals team to produce unique ... Experience working on the venture capital and/or startup beat * Proven ability to break news and ...

Venture Capital Analyst

Chicago, IL · On-site

$130 - $160/hr

DRW Venture Capital is a private investor in financial and enterprise technology. Our team focuses ... trading platforms, data businesses and technology companies * Excellent communication and ...

New

Data Scientist

Boston, MA

$160K - $180K/yr

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms. We are building the next ...

Venture Capital Analyst

Chicago, IL · On-site

$130K - $160K/yr

DRW Venture Capital is a private investor in financial and enterprise technology. Our team focuses ... For more information about DRW's processing activities and our use of job applicants' data, please ...

Showing results 21-40

Commission Venture Capital Data Science information

What is the difference between Commission Venture Capital Data Science vs Venture Capital Analyst?

AspectCommission Venture Capital Data ScienceVenture Capital Analyst
Required CredentialsDegree in Data Science, Analytics, or related field; strong technical skillsDegree in Business, Finance, or related field; strong analytical skills
Work EnvironmentData-driven, technical teams, often in tech or finance firmsInvestment teams, startup evaluations, due diligence
Employer & Industry UsageVenture capital firms, tech startups, investment firmsVenture capital firms, private equity, investment banks

Commission Venture Capital Data Science focuses on analyzing data to inform investment decisions using technical skills, while Venture Capital Analysts primarily evaluate startups and market trends through financial analysis. Both roles are integral in venture capital but differ in their core functions and skill sets.

What are the key skills and qualifications needed to thrive as a commission venture capital data scientist?

To succeed as a Commission Venture Capital Data Scientist, you need a robust background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and experience with VC-specific databases or platforms are commonly required. Strong communication, critical thinking, and business acumen are vital soft skills for translating complex data insights into actionable investment strategies. These abilities are crucial for identifying high-potential investments and supporting data-driven decisions in the competitive venture capital landscape.

How does a data scientist in a venture capital firm typically collaborate with investment teams during deal sourcing and due diligence?

As a Data Scientist in a Venture Capital (VC) firm, you'll work closely with investment partners to identify promising startups by analyzing large datasets, building predictive models, and uncovering market trends. During due diligence, you may be asked to assess a startup’s product-market fit or growth metrics, providing quantitative insights to support investment decisions. Collaboration often involves presenting findings, refining analytical approaches based on feedback, and working cross-functionally with both the investment and operations teams to inform the fund's strategy. This role requires strong communication skills and the ability to translate complex data analyses into actionable business recommendations.

What is commission venture capital data science?

Commission Venture Capital Data Science refers to the application of data science techniques and analytics within the venture capital (VC) industry, specifically to support investment decisions and portfolio management. Professionals in this field analyze large datasets to identify promising startups, track market trends, assess risks, and optimize investment strategies. The 'commission' aspect may relate to performance-based compensation or specialized projects within VC firms. This role requires expertise in data analysis, machine learning, finance, and an understanding of the startup ecosystem. Data-driven insights help VC firms make informed decisions and maximize their returns.
What cities are hiring for Commission Venture Capital Data Science jobs? Cities with the most Commission Venture Capital Data Science job openings:
What are the most commonly searched types of Venture Capital Data Science jobs? The most popular types of Venture Capital Data Science jobs are:
What states have the most Commission Venture Capital Data Science jobs? States with the most job openings for Commission Venture Capital Data Science jobs include:

Venture Capital Research Associate

Initio Capital

Dallas, TX • Remote

Full-time

Posted yesterday

New


Job description

ABOUT INITIO CAPITAL

Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

THE ROLE

As a Venture Capital Research Associate, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into clear research, structured analysis, prioritized target lists, and practical recommendations.

This is a remote, flexible role for candidates who are analytical, commercially curious, and comfortable moving quickly across business, finance, technology, and strategy topics.

WHAT YOU MAY WORK ON
  • Research companies, markets, business models, and investment themes.
  • Build target lists, market maps, competitive scans, and opportunity pipelines.
  • Analyze data, documents, websites, interviews, and public information to form concise recommendations.
  • Support strategy, sourcing, diligence, product, growth, finance, and operations projects.
WHO THIS IS FOR

This is a strong fit for candidates interested in consulting, finance, investment research, product strategy, software, AI/data, business operations, corporate development, private markets, or entrepreneurship.

COMPENSATION

Compensation varies by project and experience. Many roles are flexible, remote, and project-based.