Vice President Private Equity Data Science information
See salary details
$43.5K - $64.8K
1% of jobs
$86K - $107.3K
14% of jobs
$113.3K is the 25th percentile. Wages below this are outliers.
$107.3K - $128.6K
18% of jobs
The median wage is $142.2K / yr.
$128.6K - $149.9K
19% of jobs
$149.9K - $171.1K
14% of jobs
$180.2K is the 75th percentile. Wages above this are outliers.
$171.1K - $192.4K
11% of jobs
$192.4K - $213.7K
8% of jobs
$213.7K - $235K
4% of jobs
$235K - $256.2K
4% of jobs
$256.2K - $277.5K
2% of jobs
How much do vice president private equity data science jobs pay per year?
As of Aug 13, 2026, the average yearly pay for vice president private equity data science in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.
A Vice President of Private Equity Data Science leads the use of advanced analytics and data-driven strategies to support investment decisions within a private equity firm. They manage teams that analyze large data sets to identify trends, evaluate investment opportunities, and optimize portfolio performance. Their role involves collaborating with deal teams, developing predictive models, and implementing data solutions that drive business value. Additionally, they play a key part in integrating technology and data science best practices into the investment process.
As a Vice President in Private Equity Data Science, one of the key challenges is effectively bridging the gap between complex analytical models and traditional investment decision-making processes. This often involves translating technical findings into actionable insights for deal teams and portfolio managers who may not have a data science background. Additionally, ensuring data quality and consistency across multiple portfolio companies and investment stages can be demanding. The role requires strong communication skills and the ability to collaborate closely with investment professionals, operational teams, and executive leadership to drive data-led value creation.
To thrive as a Vice President of Private Equity Data Science, you need deep expertise in data analysis, portfolio modeling, and financial acumen, typically supported by an advanced degree in a quantitative field and experience in private equity or finance. Proficiency in statistical programming languages (such as Python or R), data visualization tools, and familiarity with financial databases and machine learning platforms is essential. Strategic thinking, strong leadership, and excellent communication skills help in translating complex data insights into actionable investment strategies and managing cross-functional teams. These competencies are crucial for driving data-driven decision-making and generating value in a competitive private equity environment.
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