Skip to main content
Blackstone logo

Vice President, Data Science — BXDS/BXMA

Blackstone

Recently Verified
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

Insider Signals

Beta
📊Active Hiring

Blackstone has had 7 hiring events in the last 30 days — they're actively building.

Company AI Context

AI Maturity

established

AI Team Size

Firm-wide data science team (BXDS), first dedicated DS team in private equity

Tech Stack

pythonsqltableaujupytersnowflake

Recent News

Blackstone Data Science (BXDS) applies ML and statistical methods across the firm's $1.1T AUM, serving as a blueprint for AI adoption in private equity.

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

Career Bridge Playbook

Beta

Career paths into this role

Data Scientist
Quantitative Researcher
Financial Analyst with ML skills
Applied Scientist

Where this role leads

Managing Director of Data Science
Head of AI/ML at PE firm
Chief Data Officer

Transition Difficulty

high

Key Skill Gaps to Close

  • private equity investing fundamentals
  • alternative data analysis
  • executive stakeholder communication
  • investment workflow integration

Skills used in this role

Technical

pythonsqlstatistical-modelingmachine-learningcausal-inferencenlpdata-visualization

Domain

private-equity-analyticsportfolio-analyticsinvestment-due-diligencealternative-dataasset-management

Soft Skills

stakeholder-influenceexecutive-communicationstrategic-thinking

Interested in this role?

Apply directly on the company's career page.

Apply Now

Roles like this, before they trend

Get weekly intel on who's hiring in AI x Finance, plus hidden gems most people miss.

Unsubscribe anytime. We never share your email.