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Director Private Equity Data Science Jobs (NOW HIRING)

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies.

The role's primary focus will be private equity investments managed by our external investment management partners as well as co-investments and direct investments. This role will help diligence new ...

... data, analyses, and written responses independently. They will take the initiative to develop ... Growth Equity * Venture Capital * Manager Research (65%): * Identify promising manager targets ...

The role's primary focus will be private equity investments managed by our external investment management partners as well as co-investments and direct investments. This role will help diligence new ...

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Director Private Equity Data Science information

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$37.5K

$122.7K

$196.5K

How much do director private equity data science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for director private equity data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means focusing on the most impactful features or data points to improve model performance efficiently, which is valuable for a Director of Private Equity Data Science when prioritizing data analysis efforts.

Do private equity firms hire data scientists?

Private equity firms increasingly hire data scientists to analyze investment opportunities, optimize portfolio companies, and improve decision-making processes. These roles often require skills in data analysis, machine learning, and financial modeling, with familiarity in tools like Python, R, and SQL. Data scientists in private equity contribute to competitive advantage through data-driven insights.

How much do directors at private equity firms make?

Directors at private equity firms typically earn between $200,000 and $500,000 in base salary, with total compensation often exceeding $1 million annually when including bonuses and carried interest. Compensation varies based on firm size, location, experience, and performance, and often involves financial modeling and data analysis skills.

What is the highest paid job in data science?

In data science, roles such as Chief Data Officer, Director of Data Science, and Lead Data Scientist tend to be among the highest paid, often earning six-figure salaries or more depending on experience, industry, and location. Senior roles requiring advanced skills in machine learning, big data tools, and leadership typically command the highest compensation.

What is the difference between Director Private Equity Data Science vs Data Scientist in Private Equity?

AspectDirector Private Equity Data ScienceData Scientist in Private Equity
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentStrategic leadership, team management, cross-department collaborationData analysis, model development, reporting
Employer & Industry UsagePrivate equity firms, investment funds, financial institutionsPrivate equity firms, investment teams, analytics departments

The main difference between a Director Private Equity Data Science and a Data Scientist in Private Equity lies in their responsibilities and seniority. The Director typically leads data science teams, sets strategic goals, and collaborates with executive management. In contrast, the Data Scientist focuses on executing data analysis, building models, and supporting investment decisions. Both roles require strong analytical skills, but the Director's role emphasizes leadership and strategic planning within the private equity industry.

More about Director Private Equity Data Science jobs
What cities are hiring for Director Private Equity Data Science jobs? Cities with the most Director Private Equity Data Science job openings:
What are the most commonly searched types of Private Equity Data Science jobs? The most popular types of Private Equity Data Science jobs are:
What states have the most Director Private Equity Data Science jobs? States with the most job openings for Director Private Equity Data Science jobs include:
What job categories do people searching Director Private Equity Data Science jobs look for? The top searched job categories for Director Private Equity Data Science jobs are:
Infographic showing various Director Private Equity Data Science job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 71% Full Time, 25% Part Time, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist - NYC

Data Scientist - NYC

The Hollister Group

Boston, MA • On-site

$100 - $200/hr

Contractor

Posted 7 days ago


Job description

Data Scientist
Our client is seeking a talented Data Scientist to join their team as an independent remote employee. Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies. You'll be at the forefront of high-value tactical workflows that drive all aspects of the investment process.
As a Data Scientist with our client, you'll have the opportunity to own due diligence processes, source efforts, or portfolio support initiatives, with your work influencing billions of dollars in investment decisions. You'll work in a collaborative, fast-moving team in close collaboration with experienced professionals passionate about AI/ML and its impact on the private equity space.
Responsibilities:
  • Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools
  • Create valuable insights from datasets directly with stakeholders
  • Architect and manage analytical projects from ideation to launch
  • Leverage alternative data sets to algorithmically determine the best investments for our clients
  • Conduct competitive analysis to determine the soundness of investments using all relevant data sources
  • Use ground-truth data from portfolio companies to improve business outcomes (automated lead generation/enrichment, forecast and churn modeling, etc.)

Required Skills:
  • Bachelor's degree or concentration in a highly quantitative or relevant data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent professional experience
  • Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts)
  • Experience writing code in Python
  • Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models
  • Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decisions
Logistics:
  • Location: This role requires 3 days per week in our clients office in NYC.
  • Pay Range: $100-$200/hr, depending on experience and scope.
  • We encourage qualified applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit.

Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupation or position.
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