Investment Data Scientist

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC; Ova (KY); On-site; USD 190,000 - 220,000; Full time

Benefits offered by this job

Discretionary annual incentive program

Comprehensive benefits package

Job summary

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC is seeking a Data Scientist to join its Investment Data Science Team. You will fuse advanced data science with commercial insight to inform due diligence and growth strategies, collaborating with investment teams and leaders to drive value creation.

Responsibilities include building data-centric tools, conducting rigorous analysis, and supporting live due diligence with rapid, data-driven decision making.

Qualifications

• Bachelor's degree required in a STEM field such as Computer Science, Math, Physics, or related area.
• At least 8 years of relevant data science experience; hedge funds/financial services preferred.
• Strong communication skills and ability to translate data into business strategy.
• Experience with investment due diligence and financial modeling is a plus.

Responsibilities

• Analyze complex datasets to guide investment strategies and due diligence.
• Develop data tools and products to scale deal support and value creation.
• Lead data-driven initiatives across deal teams and portfolio companies.
• Perform hypothesis testing, statistical analysis, and modeling under tight deadlines.

Skills

Python

SQL

Machine Learning

Data Visualization

AWS

Git

Education

Bachelor's degree in CS/Math/Physics or related STEM field

Tools

Pandas

Jupyter

Job description

Position Summary

Join our dynamic Investment Data Science Team as a Data Scientist and immerse yourself in the heart of the investment process. This unique role fuses technical data science expertise with sharp commercial insight, placing you at the crossroads of investment decision-making and value creation.

Collaborate closely with our investment teams and company leaders, leveraging your skills to make a tangible impact in due diligence and growth strategies.

Responsibilities

Deep dive into data analytics for thorough investment due diligence, balancing swift execution with meticulous analysis to assess potential risks and opportunities. Partner strategically with portfolio company executives, driving data‑led initiatives for growth and efficiency from concept to completion.

Lead in developing and implementing data‑centric strategies and tools, enhancing our investment processes and supporting our deal teams. Provide critical support in live due diligence, translating complex data into comprehensive analysis under tight deadlines. Develop insightful tools and data products to refine our investment process. Oversee value creation projects in portfolio companies, from strategy to execution. Engage in sophisticated data analysis, including feature engineering and analytics. Cleanse, integrate, and interrogate diverse datasets to unearth unique insights. Conduct rigorous hypothesis testing, statistical analysis, and modeling.

What you’ll do

Navigate and analyze complex datasets, extracting key insights to guide investment strategies. Collaborate with internal teams and external executives on data‑driven growth initiatives. Manage third‑party resources, integrating external expertise into our internal framework. Spearhead the creation of innovative data tools and products to scale our deal support capabilities.

Requirements

• Education & Certificates: A bachelor's degree, required; concentration in Computer Science, Math, Physics or other engineering/STEM related field, preferred.
• Professional Experience: At least 8 years of overall relevant technical experience in Data Science, required; previous experience with hedge funds, preferred; experience in the financial services or private equity industry, preferred.
• Competencies & Attributes: Exceptional problem‑solving abilities; aptitude for translating data into actionable business strategies; strong verbal and written communication skills, with a flair for public presentation and storytelling; solid understanding of investment, financial valuation, and commercial growth principles; advanced Python and SQL skills for complex data analysis; proficiency in machine learning techniques and handling large datasets; skilled in data visualization and statistical modeling; familiarity with AWS cloud computing and Git version control systems.

Benefits/Compensation

The compensation range for this role is specific to New York and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications. The anticipated base salary range for this role is $190,000 to $220,000. In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be 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.