Senior Data Scientist

Orr Search; New York (NY); On-site; USD 110,000 - 190,000; Full time

Job summary

Orr Search has partnered with a leading private equity firm seeking a hands-on Data Scientist to drive AI-enabled value creation across portfolio companies. You’ll work directly with portfolio teams to clean and analyze workforce, financial, and operational data, delivering actionable insights that inform investment decisions.

You’ll build scalable models, translate findings into repeatable frameworks, and partner with engineers to move models from notebooks to production while presenting to

Qualifications

• 2–3 years hands-on analytics experience in strategy consulting or equivalent applied data science role.
• Strong quantitative grounding: statistics, forecasting, ML basics.
• Comfort with presenting to senior stakeholders and running analyses end-to-end.

Responsibilities

• Pull and clean workforce, financial, and operational data from portfolio companies.
• Build and iterate quantitative models to quantify AI-driven value opportunities.
• Turn analyses into reusable frameworks across multiple portfolio companies.
• Present findings to investment committees and leadership; collaborate with engineers to productionize models.

Skills

Python

SQL

Analytical Modeling

Data Wrangling

Job description

Data Scientist - AI & Value Creation, Private Equity

About the Team

Our client is a leading private equity firm is growing the internal team that partners directly with portfolio company leadership and deal teams to find, scope, and deliver applied AI initiatives across the portfolio.

The Role

This is a hands‑on Data Scientist role. You'll go into portfolio companies, work through messy organizational, financial, and operational data, and emerge with a sharp, well‑supported view of where AI and automation can unlock value, along with a model others can reuse across different companies. It's applied and high‑autonomy: not a research post, and not a job that ends at a slide deck.

What You'll Do

• Work directly with portfolio company teams to pull together, clean, and analyze workforce, financial, and operational data (headcount, spend, org design, process metrics)
• Build and iterate on quantitative models that quantify AI‑driven efficiency and value opportunities across functions and processes
• Turn one‑off analyses into frameworks that can be reapplied across other portfolio companies
• Take findings from analysis to investment committee materials and leadership conversations - you own the presentation of your own work
• Collaborate with the team's engineers to take models from notebook to production

What We're Looking For

• 2–3 years at a top‑tier strategy consulting firm, with real hands‑on analytics experience (not just oversight of others' analysis) - or equivalent applied data science experience in a fast‑moving, client‑facing setting
• Solid quantitative grounding: statistical analysis, segmentation, forecasting, applied ML, and the judgment to know which tool fits which problem
• Strong Python (pandas, scikit‑learn or similar) and SQL skills - hands‑on coding, not delegated
• A demonstrated ability to turn vague business questions into structured analysis with a clear conclusion
• Comfortable presenting to senior stakeholders, including portfolio company executives and investment committees
• Sharp analytical instincts and genuine intellectual curiosity

Nice to Have

• Background in private equity, corporate strategy, or workforce/organizational analytics
• Experience with generative AI or LLM‑based analysis tools
• Experience supporting multiple companies or clients at once

Why This Role

A hands‑on seat at the intersection of AI, strategy, and investing - small team, direct access to senior leadership, and work that feeds straight into investment decisions rather than sitting in a deck.

*Given the high volume of applications, we're unable to respond individually to every applicant. If your experience doesn't closely match the requirements, we may not be able to follow up directly