Embedded Data Scientist, Investment Analytics

Growth Equity Interview Guide; Washington (District of Columbia); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits package

Diversity & inclusion culture

Job summary

The Carlyle Group is seeking an Embedded Data Scientist 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. You’ll translate investment questions into scalable analytical products, build proprietary scoring methodologies for private equity managers, and

Qualifications

• 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.

Responsibilities

• 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 productionize analytical capabilities.

Skills

Python

Machine learning

Statistical modeling

Stakeholder communication

Education

Bachelor’s degree or higher in a quantitative field

Job description

The Carlyle Group is seeking an Embedded Data Scientist 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. You’ll translate investment questions into scalable analytical products, build proprietary scoring methodologies for private equity managers, and