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
- 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.
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.
- 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.
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.
Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.
Who We Are
When people, ideas, and capital come together, opportunity expands across private markets. At Carlyle, this belief has shaped how we invest for decades, fueling growth for companies and delivering performance for investors.
Visit our website to learn more about our firm and the ways our platform is shaping private markets.
Skills Required
- Bachelor's degree
- At least 8 years of relevant technical experience in data science
- Concentration in Computer Science, Mathematics, Physics, engineering, or another STEM-related field
- Experience with hedge funds
- Experience in financial services or private equity
- Advanced Python and SQL skills for complex data analysis
- Proficiency in machine learning techniques and large-scale datasets
- Data visualization and statistical modeling skills
- Familiarity with AWS cloud computing
- Familiarity with Git version control
- Understanding of investment, financial valuation, and commercial growth principles
- Strong problem-solving, communication, presentation, and data storytelling skills
What We Do
Carlyle is a global investment firm with $293 billion of assets under management. Our purpose is to invest wisely and create value on behalf of our investors, portfolio companies, communities, and employees. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world’s largest and most successful investment firms, with more than 1,800 professionals operating in offices in North America, South America, Europe, the Middle East, and Asia.
