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Director Private Equity Data Science Jobs (NOW HIRING)

The Hollister Group

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.

FM

Analyst-Private Equity

Boston, MA · On-site

$106K - $152K/yr

... scientific research capability and engineering expertise are solely dedicated to property risk ... The role will focus on evaluating direct and co‑investment opportunities across a broad range of ...

FM

Analyst-Private Equity

Boston, MA · On-site

$106K/yr

... scientific research capability and engineering expertise are solely dedicated to property risk ... The role will focus on evaluating direct and co-investment opportunities across a broad range of ...

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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 Aug 8, 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 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:
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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:
Director Private Equity Data Science jobs near you
Infographic showing various Director Private Equity Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Associate Director- Private Equity Analytics

CrossCountry Consulting

Charleston, WV • Remote

Full-time

Re-posted 3 days ago

Job description

From the beginning, our goal was to establish an advisory firm that stands apart from the rest – one that is grounded in our Core Values and dedicated to creating a positive experience not just for our clients, but for our people too. We firmly believe in the strength of collaboration, enthusiasm, generosity, and perseverance as the driving forces behind our success. With advisory solutions spanning accounting and risk, technology-enabled transformation, and transactions, we partner with our clients to solve today’s challenges and deliver present and future value.

Our commitment to our people has earned us numerous awards including Inc5000's Fastest Growing Companies and Glassdoor's Best Places to Work. Explore what our employees have to say about our unique culture by clicking here.

For CFOs, CIOs, and corporate leaders to cost-effectively achieve strategic growth, real-time data insights, competitive differentiation, and complete compliance, they need a robust digital architecture that maximizes technology investments and process efficiencies. Our data systems specialists design, build, and deploy leading data, analytics, and automation programs that generate rapid ROI across the enterprise.
 
By joining our rapidly growing Data Transformation & Analytics practice you will serve as a trusted partner to our clients. You’ll bring your first-hand experience, unique perspectives, and functional knowledge to deliver tailored integrated solutions that help our clients solve today's challenges and set the foundation for future success. As a Manager at CrossCountry Consulting you will be responsible for a mix of client delivery, leading teams and developing junior team members, and participating in business development activities.
What You'll Do:
  • Oversee a wide range of Data Transformation & Analytics projects, spanning performance analytics, transaction support, forecasting, and AI-enabled solutions.
  • Bring a diligent mindset to build innovative solutions for clients leveraging data for performance analytics and insights in connection with transformational events, including mergers and acquisitions (M&A), divestitures, carve-outs, and exit preparedness.
  • Utilize core accounting and financial due diligence skills to ensure data is reconciled and built at the transaction level, leading to supportable and auditable performance metrics.
  • Provide strategic counsel to corporate and private equity leaders, including direct access to strategists, decision-makers, operating executives, managing directors, CFOs, and corporate development officers.
  • Perform data extraction, transformation, modeling, visualization, benchmarking, and various descriptive and predictive analyses to help clients make better decisions.
  • Lead high-performing teams in data analytics, consulting, and/or private equity, combining technical knowledge, analytics, and visualization to drive valuable business and commercial insights.
  • Cultivate new client relationships and deepen existing ones. Guide clients and teams along their analytics journey, aligning with their strategic vision, crafting a practical roadmap, and supporting implementation.
  • Lead data-driven discussions in management meetings, translating complex findings into clear, strategic recommendations for due diligence and transaction models.
  • Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards.
  • Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal processes.
  • Suggest methods and leverage tools to automate the client’s end-to-end process from data extraction and preparation to reporting in support of performance analytics.
  • Contribute to the creation of forecasting and predictive analytics models.
  • Develop and support thought leadership and intellectual capital, using data and insights to inform conclusions and support decision-making.
  • Contribute to the continuous improvement of the fast-growing practice.
  • Mentor team members by coaching colleagues, providing regular ongoing feedback and annual performance reviews, and helping project teams resolve multi-faceted issues.
  • Play an active role in attracting, interviewing, hiring, and retaining top Talent.
  • Foster business development opportunities by networking within existing clients, participating on proposal teams in securing new client work, and generating leads from a network outside of existing client work.
What You'll Bring:
  • 9+ years of relevant experience involving a combination of financial due diligence for transaction services and data analytics.
  • Extensive ability and proven skills in data processing tools such as Alteryx, PowerQuery, Excel, SQL, Python, and visualization tools such as Power BI, Tableau, Looker, or similar.
  • Strong business acumen and critical thinking skills to draw meaningful insights from robust underlying data.
  • Experience in SaaS, Industrial Manufacturing, Healthcare, Consumer Products, Retail, and/or Professional Services industries, including analytics around ARR cube and snowball, revenue/margin and price-volume, and/or cash collections waterfall.
  • Experience in functional areas like supply chain, operations, and corporate finance.
  • Experience with advanced analytical methods, including statistical pricing studies, customer lifetime value analyses, customer persistency/retention analyses, geospatial analyses, and statistical clustering analyses.
  • Experience in business integrations, divestitures, or carve-outs including experience with quantitative and qualitative analysis.
  • Transactions experience focused on quality of earnings, net working capital, and cash flows.
  • Comfort with AI: Demonstrated ability to responsibly explore and adopt firm-approved AI tools to enhance productivity and innovation.
  • Continuous Learning Mindset: Openness to learning and applying emerging technologies including AI and automation in alignment with firm policies and client standards.
  • A passion for developing and maintaining client relationships. Ability to interact, communicate, and present effectively with internal teams and external clients.
  • Experience mentoring junior team members and assisting project teams in resolving complex and multi-faceted issues.
  • Willingness to travel to client sites when necessary.
Qualifications:
  • Bachelor’s degree in Business, Accounting, Economics, Engineering, Information Systems, Mathematics, or similar discipline.
  • CA / CIMA / CFA / MBA preferred
  • Certification in Databricks / Snowflake / Alteryx / PowerBI / Tableau preferred
  • Willingness to travel based on client preferences.
#LI-NB1
#LI-hybrid

Benefits Summary
The CrossCountry total rewards package includes comprehensive healthcare options, including medical, dental, and vision coverage; flexible spending accounts; and a 401(k) with company matching. Additionally, employees can take advantage of generous parental and maternity leave policies, technology stipends, and wellness reimbursement programs, all designed to support both professional growth and personal well-being. For detailed information about benefits at CrossCountry, please visit our dedicated benefits site: https://www.crosscountry-consulting.com/careers/benefits/.

Equal Employment Opportunity (EEO)
CrossCountry provides equal employment opportunities (EEO) to all employees and applicants for employment and believes that respect and fair treatment are critical to creating a productive and inclusive workplace. 

As an equal opportunity employer, CrossCountry is fully committed to comply with all federal, state, and local laws and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, pregnancy, genetics, sexual orientation, veteran status, gender identity or expression or any other protected characteristic. The company also complies with pay transparency and labor laws applicable to all terms and conditions of employment.
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.