Note: The job is a remote job and is open to candidates in USA. The Carlyle Group is a global investment firm with a focus on connecting people, ideas, and capital. They are seeking an Embedded Data Scientist to work with investment professionals, developing analytical frameworks, generating investment insights, and building scalable products to enhance decision-making.
Responsibilities
- Partner directly with investment professionals across Primaries, Secondaries, and Co-Investments to support live investment opportunities
- Translate investment questions into analytical frameworks, models, and actionable insights
- Conduct quantitative analyses to evaluate fund managers, investment strategies, portfolio performance, and market opportunities
- Present findings and recommendations to investment teams and senior leadership
- Develop and enhance proprietary GP Scoring methodologies used to evaluate private equity managers
- Build scalable analytical products that integrate into AlpInvest's investment workflows
- Design and deploy machine learning, statistical, and AI-driven solutions to improve investment decision-making
- Contribute to the development of One-Day Pricing capabilities for LP interest transactions
- Support the creation of market intelligence, portfolio monitoring, and company intelligence products
- Develop and improve predictive models leveraging structured and unstructured investment datasets
- Apply modern AI techniques, including LLMs, agent-based workflows, and retrieval systems, to investment research and diligence processes
- Collaborate with engineering and product teams to productionize analytical capabilities
- Identify opportunities to automate workflows and improve scalability across investment processes
- Build strong relationships with investment professionals and become a trusted advisor across business lines
- Gather requirements, prioritize opportunities, and translate business needs into technical solutions
- Communicate complex analytical concepts to both technical and non-technical audiences
- Help drive adoption of data science products and insights throughout the organization
Skills
- Bachelor's degree or higher (MS, PhD, MBA, or equivalent), required
- 8+ years of overall relevant technical experience, required
- Experience in Data Science, Machine Learning, Quantitative Analytics, Applied AI, or related fields, with a proved track record of success
- Experience building and deploying production-grade analytical products and models
- Demonstrated ability to work directly with senior business stakeholders and solve complex business problems
- Experience operating in highly ambiguous environments and managing multiple priorities simultaneously
- Strong programming skills in Python and experience with modern data science libraries and frameworks
- Deep understanding of statistical modeling, machine learning, experimentation, and predictive analytics
- Experience working with structured and unstructured datasets at scale
- Familiarity with cloud-based analytics environments and modern data platforms
- Concentrations in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Finance, or a related quantitative discipline, preferred
- Experience applying generative AI, LLMs, or agent-based systems is strongly preferred
- Experience within private equity, asset management, investment management, alternative investments, financial services, or investment technology
- Familiarity with investment performance metrics, portfolio analytics, fund structures, or manager evaluation frameworks
Benefits
- Comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs
- Eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance
Company Overview
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