Investment Data Scientist

Responsibilities

Develop scalable diligence analyses for thorough investment due diligence, balancing swift execution with meticulous analysis to assess potential risks and opportunities. Own diligence data domain and development of new scalable analyses for diligence insights Partner with AI product team to further develop AI diligence platform giving business insight and feedback on usability Own execution ofpany diligences and delivery end to end using AI platform and tools Mentor and be a technical manager for individual contributor Investment Data Scientists 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, translatingplex data intoprehensive analysis under tight deadlines. 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. Develop and own short-term roadmap for diligence analysis improvements and new analyses Take investment team feedback incorporating it with near-term roadmap to improve diligence oues Work with upstream partners on data and insight teams to add new features to diligence analyses and ensure data cleansing and availability is sufficient
What you'll do:

Navigate and analyzeplex 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.
Qualifications

Education & Certificates

A bachelor's degree or higher in a STEM field, required Concentration inputer Science, Math, Physics or other engineering related field, preferred
Professional Experience
At least 6 years of experience in data engineering or a related discipline, with a proven track record of success. Experience inmercial consulting, investment banking, or client-oriented roles is advantageous. Experience in the financial services or private equity industry, preferred


Exceptional problem-solving abilities. Aptitude for translating data into actionable business strategies. Strong verbal and writtenmunication skills, with a flair for public presentation and storytelling. Solid understanding of investment, financial valuation, andmercial growth principles. Advanced Python and SQL skills forplex data analysis. Proficient in machine learning techniques and handling large datasets. Skilled in data visualization and statistical modeling. Familiarity with AWS cloudputing and Git version control systems.


The Carlyle Group (NASDAQ: CG) is a global investment firm with $453 billion of assets under management and more than half of the AUM managed by women, across 641 investment vehicles as of March 31, 2025. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,300 professionals operating in 29 offices in North America, Europe, the Middle East, Asia and Australia. Carlyle places an emphasis on development, retention and inclusion as supported by our internal processes and seven Employee Resource Groups (ERGs). Carlyle's purpose is to invest wisely and create value on behalf of its investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle AlpInvest - and has expertise in various industries, including: aerospace, defense &ernment services, consumer & retail, energy, financial services, healthcare, industrial, real estate, technology & business services, telmunications & media and transportation.

At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." We strive to foster an environment where ideas are openly shared and valued. By bringing together teams with varied expertise and approaches, we enjoy apetitive advantage and create a stronger foundation for long-term success. Job ID 4856