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Venture Capital Operations Jobs in Virginia (NOW HIRING)

Venture Global, Inc.

Senior Data Scientist

Arlington, VA · On-site

$180K - $230K/yr

... Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost. We are seeking ...

Venture Global, Inc.

Cybersecurity Analyst

Arlington, VA · On-site

... Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost. We are seeking ...

Venture Global, Inc.

Engineer, Software

Arlington, VA · On-site

$123K - $150K/yr

... Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost. We are seeking ...

Venturegloballng

Analyst, Planning

Arlington, VA · On-site

$95K - $105K/yr

... Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost. We are seeking ...

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How much do venture capital operations jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for venture capital operations in Virginia is $19.59, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $21.54 per hour, depending on experience, location, and employer.

What is venture capital operations?

Venture Capital Operations refers to the behind-the-scenes functions that support the investment activities of a venture capital (VC) firm. This includes managing fund administration, compliance, investor relations, reporting, and the processes involved in sourcing, evaluating, and monitoring investments. Operations teams ensure that the firm's activities run smoothly and efficiently, allowing investment professionals to focus on finding and supporting promising startups. Their work is essential for maintaining regulatory compliance, overseeing fund performance, and keeping investors informed.

What are the key skills and qualifications needed to thrive in venture capital operations?

To thrive in Venture Capital Operations, you need a strong background in finance, analytical skills, and a solid understanding of venture capital processes, often supported by a degree in finance, business, or economics. Familiarity with tools like Excel, CRM software, portfolio management platforms, and, in some cases, CFA or CAIA certification is highly valuable. Exceptional organizational abilities, attention to detail, and effective communication skills help you manage complex workflows and build strong relationships with stakeholders. These skills are crucial for ensuring efficient fund administration, compliance, and supporting investment teams in making informed decisions.

What are some common challenges faced in a venture capital operations role, and how can they be addressed?

Professionals in Venture Capital Operations often encounter challenges such as managing complex fund structures, ensuring regulatory compliance, and handling fast-paced deal flows. Staying organized and detail-oriented is crucial, as is keeping up with evolving industry regulations. Regular communication with investment teams, portfolio companies, and legal advisors helps address these challenges effectively. Leveraging specialized VC operations software and maintaining thorough documentation can also streamline processes and reduce errors.

What is the difference between Venture Capital Operations vs Venture Capital Analyst?

AspectVenture Capital OperationsVenture Capital Analyst
Primary FocusManaging fund administration, compliance, and portfolio supportConducting market research, due diligence, and financial analysis
Required SkillsOperational management, data analysis, communicationFinancial modeling, industry research, valuation skills
Work EnvironmentBack-office, administrative, collaborative with investment teamsResearch-driven, analytical, often in investment teams
Common EmployerVenture capital firms, fund administratorsVenture capital firms, investment banks

Venture Capital Operations roles focus on fund management, compliance, and portfolio support, while Venture Capital Analysts primarily conduct research, financial analysis, and due diligence. Both roles are essential in venture capital firms but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Venture Capital Operations jobs in Virginia?

The most popular types of Venture Capital Operations jobs in Virginia are:

What are popular job titles related to Venture Capital Operations jobs in Virginia?

For Venture Capital Operations jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Venture Capital Operations jobs in Virginia look for?

The top searched job categories for Venture Capital Operations jobs in Virginia are:

Venture Capital Operations jobs near you
Infographic showing various Venture Capital Operations job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $40,754 per year, or $19.6 per hour.

Senior Data Scientist

Venture Global, Inc.

Arlington, VA • On-site

$180K - $230K/yr

Full-time

Posted 16 days ago

Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
We are seeking qualified applicants for the position:
Senior Data Scientist
Located:
Arlington
Summary
The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms. As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, mentorship, strategic-thinking, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA.
General Description Duties & Responsibilities
  • Develop solutions to business problems using the data science life cycle.
  • Develop and maintain data analytics solutions and machine learning algorithms
  • Develop comprehensive project plans for implementing data science projects including solution architectures, resourcing, and dependencies.
  • Use predictive modeling and classification techniques to improve LNG production efficiency and mitigate safety or downtime risks.
  • Mine and analyze data from a data lake or data warehouse to drive optimization.
  • Work with stakeholders to identify opportunities to leverage data science to drive business solutions.
  • Understand where key decisions are needed and communicate options for solving business problems with stakeholders.
  • Provide ETL requirements to data engineers to effectively curate files for data analytics.
  • Document data science algorithms for maintainability.
  • Work with IT leadership to further define the data science life cycle and enhance the data science technology stack and architecture.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Mentor junior data scientists and data analysts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Qualifications
Required experience
  • 5+ Years of practical data science/data analytics experience.
  • Bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • Knowledge in cloud data analytics solutions, managing, developing, and maintaining machine learning solutions.
  • Fundamental skills in data processing languages such as SQL, Python, or Scala.
  • Knowledge in building data science solutions using cloud data services.
  • Ability to self-manage and make your own decisions.
  • Strong presentation skills to effectively communicate results of analytics to stakeholders.
  • Strong documentations skills.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.

Preferred Experience
  • Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.
  • Experience using Databricks for machine learning algorithm development
  • Experience in coding languages primarily PySpark, Python,and SQL.
  • Experience in agile development and sprint planning.
  • Experience utilizing DevOps
  • Experience working with streaming datasets/IoT.
  • Strong technical writing skills.

Salary Range
$180,000 - $230,000
Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

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