Investment Data Scientist

The Carlyle Group; New York (NY); On-site; USD 190,000 - 220,000; Full time

Benefits offered by this job

Retirement benefits

Health insurance

Life insurance

Disability

Paid time off

Paid holidays

Family planning benefits

Wellness programs

Annual incentive program

Job summary

The Carlyle Group seeks an experienced Data Scientist to join its Investment Data Science Team in New York. You will blend advanced analytics with commercial insights to support due diligence, growth strategy, and value creation across deals.

Expect collaboration with investment teams, data tool development, and high-impact, data-driven decision making. Qualifications include a bachelor’s in CS/Math/Physics and at least 8 years in data science, preferably in finance or hedge funds.

Qualifications

• Bachelor's degree in CS, Math, Physics or related STEM field.
• Minimum 8 years of data science experience in finance or related industry.
• Experience with hedge funds and financial services is preferred.

Responsibilities

• Dive into data analytics for investment due diligence with fast, rigorous analysis.
• Partner with portfolio executives to drive data-led growth initiatives.
• Lead development of data-centric tools to enhance deal processes.
• Support live due diligence with complex data translation under deadlines.
• Create data products to refine investment workflows.
• Oversee value creation projects from strategy to execution.
• Perform feature engineering, statistical modeling and hypothesis testing.
• Cleanse, integrate and interrogate diverse datasets for insights.

Skills

Python

SQL

Machine learning

Data visualization

AWS

Git

Education

Bachelor's degree in CS/Math/Physics

Tools

AWS

Git

Job description

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.