Investment Data Scientist

The Carlyle Group•New York, NY

46d•$190,000 - $220,000•Onsite

About The Position

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.

Requirements

A bachelor's degree, required
At least 8 years of overall relevant technical experience in Data Science, required
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.

Nice To Haves

Concentration in Computer Science, Math, Physics or other engineering/STEM related field, preferred
Previous experience with hedge funds, preferred
Experience in the financial services or private equity industry, preferred

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.
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.