Basic information
Job Name:
Data Scientist
Location:
Remote
Line of Business:
One Carlyle
Job Function:
One Carlyle
Date:
Tuesday, September 19, 2023
Position Summary
We are looking for qualified individuals who are eager to solve difficult problems to join us. The data science team falls under global private equity. We leverage modern techniques like big data, and machine learning to build industrial-level solutions to facilitate investment decision-making. As part of a small team made of individuals from diverse backgrounds, we believe everyone is an integral part of the team's success. We are looking for individuals with a desire to deeply understand the investing process and support our teams by developing analytical tools to provide new insight. This role will be focused on building an insights platform for the investment team, with the opportunity to partner on specific deals, and potentially on portfolio company value creation.
Responsibilities
- Create scalable insight tools to assist in investment process
- Feature engineering and exploration
- Descriptive and predictive analytics based on large datasets
- Cleaning, stitching together, and analyzing disparate datasets to create unique insights
- Hypothesis testing, statistical analysis, and modeling with time series data – structured and unstructured data, graph analysis, and supervised learning
- Partner with business leads to develop valuable solutions
Qualifications
Education & Certificates
- College degree and above in STEM field
Professional Experience
- 3 ~ 6 years of hands-on Machine Learning experience
Competencies & Attributes
- Strong verbal and written communication skills
- Comfortable with public presentation and storytelling
- Curiosity with a can-do attitude
- Technical Requirements (following order of importance):
- Expert in mathematical theory and engineering practice behind common ml techniques (regression, classification, time series, neutral network etc.)
- Familiarity with statistics, probability, and hypothesis testing
- Hands-on experience with ML framework (pytorch, tensorflow, scikit-learn)
- Python/R
- SQL (ANSI or common RDBMS)
- Linux
- Experience deploying models in production - online/offline inferencing
- Good to have:
- Cloud computing (AWS preferred)
- Familiarity with finance - private equity, asset valuation
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 $385 billion of assets under management and more than half of the AUM managed by women, across 562 investment vehicles as of June 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 29 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.