Embedded Data Scientist, Tech
Job in
Washington, District of Columbia, 20022, USA
Listed on 2026-08-12
Listing for:
Growth Equity Interview Guide
Full Time
position Listed on 2026-08-12
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
The Alp Invest Embedded Data Scientist role at The Carlyle Group is a unique opportunity to blend data science with investment strategies. You’ll partner with investment professionals to develop analytical frameworks and insights that enhance decision-making. This position allows you to work on innovative projects while collaborating with a diverse team in a dynamic environment.
What You’ll Do- Work closely with investment teams to support live investment opportunities.
- Translate investment questions into analytical frameworks and actionable insights.
- Develop and enhance proprietary scoring methodologies for private equity managers.
- Build scalable analytical products to improve investment decision-making.
- Collaborate with engineering teams to product ionize analytical capabilities.
- Bachelor’s degree or higher in a quantitative field.
- 8+ years of relevant technical experience.
- Strong programming skills in Python.
- Experience with machine learning and statistical modeling.
- Ability to work with both technical and non-technical stakeholders.
- Familiarity with investment performance metrics and portfolio analytics.
- Competitive salary range with a comprehensive benefits package.
- Opportunity to work at the intersection of investing and data science.
- Engage with senior leadership and make a real impact on investment decisions.
- Be part of a dynamic team that values diverse perspectives and ideas.
- The Carlyle Group is a global investment firm with $475 billion in assets under management.
- Founded in 1987, it has grown into one of the largest investment firms worldwide.
- Carlyle invests across various segments including private equity and credit.
- The firm emphasizes development, retention, and inclusion in its culture.
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