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Contract Data Scientist Hedge Fund Jobs (NOW HIRING)

Our teams design, implement, and operate solutions that help clients manage data, automate ... S. GAAP and hedge fund accounting principles * Experience preparing and reviewing financial ...

Our teams design, implement, and operate solutions that help clients manage data, automate ... S. GAAP and hedge fund accounting principles * Experience preparing and reviewing financial ...

Our teams design, implement, and operate solutions that help clients manage data, automate ... S. GAAP and hedge fund accounting principles * Experience preparing and reviewing financial ...

Manager, Hedge Fund Accounting Locations: New York City (hybrid) About the Role Lead a high ... Our teams design, implement, and operate solutions that help clients manage data, automate ...

Our teams design, implement, and operate solutions that help clients manage data, automate ... S. GAAP and hedge fund accounting principles * Experience preparing and reviewing financial ...

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Contract Data Scientist Hedge Fund information

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$46K

$165K

$243.5K

How much do contract data scientist hedge fund jobs pay per year?

As of Aug 20, 2026, the average yearly pay for contract data scientist hedge fund in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a contract data scientist do at a hedge fund?

A Contract Data Scientist at a hedge fund analyzes large sets of financial and alternative data to uncover patterns, build predictive models, and generate actionable insights for investment strategies. They typically work on a project basis, collaborating with portfolio managers, quantitative researchers, and technologists to solve specific problems such as risk modeling, algorithmic trading, or portfolio optimization. Their work combines statistical analysis, programming, and financial knowledge to help the fund make data-driven decisions.

What are the key skills and qualifications needed to thrive as a contract data scientist at a hedge fund?

To thrive as a Contract Data Scientist at a hedge fund, you need advanced quantitative skills, expertise in statistical modeling, and a background in computer science or a related field, often evidenced by an advanced degree. Proficiency with programming languages like Python or R, experience with machine learning frameworks, and familiarity with financial data platforms such as Bloomberg or FactSet are typically required. Strong problem-solving abilities, effective communication, and adaptability are valuable soft skills in this fast-paced environment. These competencies are crucial for delivering actionable insights, supporting data-driven investment decisions, and ensuring smooth collaboration across multidisciplinary teams.

What are some common challenges faced by contract data scientists working at hedge funds?

Contract data scientists at hedge funds often face challenges such as quickly adapting to proprietary data systems and integrating with established quantitative teams under tight deadlines. They must rapidly understand the fund's investment strategies and deliver actionable insights, often with limited onboarding. Additionally, balancing confidentiality requirements with effective collaboration is crucial, as is managing expectations regarding project scope and deliverables. Being proactive in communication and flexible in problem-solving are key to success in this fast-paced, high-stakes environment.

What is the difference between Contract Data Scientist Hedge Fund vs Contract Quantitative Analyst Hedge Fund?

AspectContract Data Scientist Hedge FundContract Quantitative Analyst Hedge Fund
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/RDegree in Mathematics, Finance, or related; strong programming and statistical skills
Work EnvironmentData analysis, model development, collaboration with tech teamsFinancial modeling, risk analysis, trading strategy development
Employer & Industry UsageHedge funds, asset management firms, fintech companiesHedge funds, investment firms, proprietary trading desks

Contract Data Scientists focus on developing algorithms and analyzing large datasets, while Contract Quantitative Analysts primarily build financial models and strategies. Both roles require strong analytical skills and programming knowledge, but Data Scientists tend to work more with data infrastructure, whereas Quantitative Analysts focus on financial modeling and trading strategies within hedge funds.

More about Contract Data Scientist Hedge Fund jobs

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States with the most job openings for Contract Data Scientist Hedge Fund jobs include:

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The top searched job categories for Contract Data Scientist Hedge Fund jobs are:

Infographic showing various Contract Data Scientist Hedge Fund job openings in the United States as of August 2026, with employment types broken down into 65% Full Time, 10% Temporary, and 25% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Global Head of Hedge Fund Partnerships & Strategy

VAST Data

Manhattan, NY โ€ข On-site

Full-time

Re-posted 17 days ago


Job description


VAST Data is seeking a Global Head of Hedge Fund Strategy & Partnerships to build and lead our hedge fund practice worldwide. This is a unique opportunity for a highly connected industry leader who understands the hedge fund ecosystem and has deep relationships across quantitative funds, multi-strategy platforms, systematic trading firms, discretionary funds, and the broader financial technology landscape.


This role is not a direct sales position. Instead, you will serve as the strategic bridge between the hedge fund industry and VAST's product, engineering, field, and executive leadership teams.


You will be responsible for creating VAST's hedge fund strategy from the ground up—developing executive relationships, identifying market opportunities, influencing product direction, establishing industry credibility, enabling field teams, and building the foundation for a future team and practice.


The Role



Build the Hedge Fund Practice

  • Define and execute VAST's global hedge fund strategy
  • Establish VAST as a trusted infrastructure and AI platform partner within the hedge fund community
  • Develop a long-term roadmap for expanding VAST's presence across the world's leading hedge funds
  • Build the foundation for a future team focused on financial services and hedge fund engagement


Develop Executive Relationships

  • Build and maintain senior relationships with CIOs, CTOs, Heads of Infrastructure, Quantitative Research leaders, Data Platform leaders, and Engineering executives across the hedge fund ecosystem
  • Create introductions and strategic engagement opportunities between hedge fund leaders and VAST executives
  • Serve as a trusted advisor to both customers and internal stakeholders


Drive Market Intelligence & Strategy

  • Identify emerging trends, workload requirements, benchmarking needs, and technology priorities across the hedge fund industry
  • Translate customer insights into actionable recommendations for Product Management, Engineering, and Executive Leadership
  • Help define the capabilities, integrations, and performance benchmarks required to accelerate adoption within hedge funds


Enable Internal Teams

  • Educate VAST sales, solutions engineering, product, and executive teams on hedge fund market dynamics
  • Develop industry-specific messaging, plays, competitive positioning, and engagement strategies
  • Partner with field teams to accelerate opportunities and expand existing hedge fund relationships


Create Industry Presence

  • Build and execute a hedge fund-focused events and engagement strategy
  • Represent VAST at industry conferences, executive forums, customer roundtables, and private networking events
  • Develop strategic relationships with influential industry participants, partners, consultants, and advisors

Requirements:


  • 10+ years of experience working with or selling into hedge funds, quantitative trading firms, asset managers, or financial services organizations
  • Deep network of executive relationships across the hedge fund ecosystem
  • Proven ability to build strategic programs, partnerships, or industry practices from the ground up
  • Strong understanding of data infrastructure, AI infrastructure, HPC, quantitative research environments, or large-scale analytics platforms
  • Experience influencing product strategy and working cross-functionally with engineering and product organizations
  • Exceptional executive communication and relationship-building skills
  • Ability to operate independently while influencing senior stakeholders across a rapidly growing organization

Preferred Experience

  • Former hedge fund technology, infrastructure, engineering, data platform, or quantitative research leader
  • Experience in strategic alliances, industry partnerships, business development, or market development roles
  • Prior experience with AI infrastructure, high-performance computing, large-scale storage, data platforms, or cloud infrastructure
  • Experience building and scaling industry-specific practices or centers of excellence