Investment Data Scientist

The Carlyle Group

Denver (CO)

On-site

USD 150,000 - 175,000

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits package including health and retirement benefits
Paid time off and holidays
Annual discretionary incentive program

Job summary

The Carlyle Group is seeking an Investment Data Scientist to join its team in Denver. This role merges technical expertise with commercial insight, focusing on investment processes and data analytics. Key responsibilities include leading diligence analyses, mentoring team members, and enhancing investment strategies through data-driven insights. Ideal candidates will have a STEM degree, significant experience in data engineering, and proficiency in Python and SQL.

Qualifications

  • Bachelor's degree or higher in a STEM field required.
  • 6 years of experience in data engineering or a related discipline.
  • Exceptional problem-solving abilities and aptitude for translating data into business strategies.
  • Strong verbal and written communication skills.
  • Solid understanding of investment and financial valuation principles.

Responsibilities

  • Develop scalable diligence analyses for thorough investment due diligence.
  • Collaborate with investment teams to translate complex data into comprehensive analysis.
  • Mentor individual contributor Investment Data Scientists.

Skills

Python
SQL
Machine Learning
Data Visualization
Statistical Modeling

Education

Bachelor's degree or higher in a STEM field
Concentration in Computer Science, Math, or Physics

Tools

AWS
Git

Job description

Join to apply for the Investment Data Scientist role at The Carlyle Group

Join to apply for the Investment Data Scientist role at The Carlyle Group

This range is provided by The Carlyle Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $175,000.00/yr

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

  • 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 of company 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, translating complex data into comprehensive 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 outcomes
  • 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 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.

Qualifications

Education & Certificates

  • A bachelor's degree or higher in a STEM field, required
  • Concentration in Computer 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 in commercial 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 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.
  • Proficient 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.

The compensation range for this role is specific to Denver, CO, 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 $150,000 to $175,000.

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.

Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.

Company Information

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 & government services, consumer & retail, energy, financial services, healthcare, industrial, real estate, technology & business services, telecommunications & 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 a competitive advantage and create a stronger foundation for long-term success.

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Other
  • Industries
    Venture Capital and Private Equity Principals

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