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Vice President, Data Science — BXDS/BXMA

Blackstone

New This Week
Data SciencePrivate EquitySenior (6-10 yrs)HybridAsset Manager

Strong fit for senior data scientists wanting to apply ML to investment decisions across .1 trillion in PE assets.

AI → Finance

Location

New York, NY

Salary Range

$165,000 – $200,000

Posted

Mar 15, 2026

Lead data science at Blackstone's firm-wide BXDS team — applying AI and ML to investment decisions across $1.1 trillion in AUM at the world's largest PE firm.

## About the Role Blackstone Data Science (BXDS) is the firm-wide team that uses AI and statistical methods across Blackstone's $1.1 trillion in AUM — the first dedicated data science team in private equity. As VP of Data Science, you will answer mission-critical investment and business questions using data science, statistics, and ML techniques integrated into investing groups. ## Responsibilities - Apply data science, ML, and statistical methods to investment decision-making - Develop predictive models for portfolio analytics and due diligence - Build data-driven tools that enhance investment workflows across the firm - Collaborate with investment professionals across Blackstone's business lines - Drive adoption of advanced analytics capabilities across the organization ## Requirements - 5+ years of experience in data science or quantitative analysis - Strong proficiency in Python, SQL, and ML frameworks - Experience with statistical modeling, causal inference, or NLP - Knowledge of financial services, private equity, or investment management - MS or PhD in a quantitative field preferred - Excellent communication skills for translating technical insights to business stakeholders

Skills & Technologies

Data SciencePythonStatistical ModelingMLPrivate EquityPortfolio AnalyticsSQL

Best Backgrounds

  • data science
  • quantitative analysis
  • investment analytics
  • private equity operations

Related Titles to Explore

  • Investment Data Scientist
  • Quantitative Analyst - PE
  • Portfolio Analytics VP
  • Alternative Data Scientist

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