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
Dive deep 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.
Qualifications
Education & Certificates
College degree and above in STEM field
Professional Experience
Minimum of 3-6 years of direct Data Science experience, required.
Experience in commercial consulting, investment banking, or client-oriented roles is advantageous.
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.
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.
Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by The Carlyle Group.
Company Information
The Carlyle Group (NASDAQ: CG) is a global investment firm with $382 billion of assets under management and more than half of the AUM managed by women, across 600 investment vehicles as of September 30, 2023. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,200 professionals operating in 28 offices in North America, South 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 Investment Solutions - 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 know that diverse teams perform better, so we seek to create a community where we continually exchange insights, embrace different perspectives and leverage diversity as a competitive advantage. That is why we are committed to growing and cultivating teams that include people with a variety of perspectives, people who provide unique lenses through which to view potential deals, support and run our business.
