Senior Data Scientist
The Senior Data Scientist role at Confidential Client involves hands-on application of AI and data science to unlock value across private equity portfolio companies. The position requires working directly with company teams to analyze complex data, build reusable quantitative models, and present actionable insights to senior stakeholders and investment committees. This role offers a unique opportunity to impact investment decisions through applied AI in a fast-paced, client-facing environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Venture Capital and Private Equity Principals.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role Overview
Confidential Client (a leading private equity firm) is hiring a hands-on Senior Data Scientist to join a small, high-impact Value Creation & AI team. You will work directly with portfolio company leadership and deal teams to discover, scope, and deliver applied AI and analytics solutions that unlock measurable operational and financial value across the portfolio.
What You’ll Do
- Work on-site with portfolio company teams to gather, clean, and analyze workforce, financial, and operational data (headcount, spend, org design, process metrics).
- Build and iterate quantitative models to estimate AI-driven efficiency and value opportunities across functions and processes.
- Turn one-off analyses into reusable frameworks and playbooks that can be applied across multiple portfolio companies.
- Present findings directly to portfolio company executives and investment committees; you own the narrative and supporting analysis.
- Collaborate with engineers to move models and analytics from notebook prototypes to productionized pipelines and dashboards.
Required Qualifications
- 2–3 years at a top-tier strategy consulting firm with hands-on analytics experience, or equivalent applied data science experience in a client-facing, fast-moving environment.
- Strong quantitative skills: statistical analysis, segmentation, forecasting, and applied ML, with business judgment to pick the right approach.
- Hands-on Python (pandas, scikit-learn or similar) and SQL skills — you write production-quality code and queries.
- Demonstrated ability to convert vague business questions into structured analysis and clear, actionable conclusions.
- Comfortable presenting to senior stakeholders, including portfolio company leadership and investment committees.
- Intellectual curiosity, strong analytical instincts, and high autonomy.
Nice to Have
- Background in private equity, corporate strategy, or organization/workforce analytics.
- Experience with generative AI or LLM-based tools applied to business problems.
- Experience supporting multiple clients or portfolio companies simultaneously.
- Familiarity with production ML engineering practices and MLOps.
Why This Role
- A high-autonomy, hands-on seat at the intersection of AI, strategy, and investing.
- Direct exposure to senior investment and portfolio leaders and work that feeds straight into investment decisions.
- Small, focused team — opportunity to shape frameworks and scale successful solutions across a portfolio.
Additional Details
- Seniority level: Associate
- Employment type: Full-time
- Location: New York, NY (onsite with portfolio company visits)
- Industry: Venture Capital and Private Equity Principals
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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