We are building a data science capability for Private Equity. I am looking to recruit 2-3 Fall interns with the possibility to convert to full-time, if they are strong performers. They should have experience in python, SQL/BigQuery and handling big data. Above all, curiosity, data intuition and strong communication skills are highly desirable.
The Two Sigma Strategic Data Science team is seeking data scientist interns (Masters degree and Ph.D. candidates) and to join our growing team and contribute to building the initial data and modeling platform used to guide our team’s investment process and asset selection.
You will take on the following responsibilities:
· Independently generate and articulate hypotheses on what may affect private markets, asset valuations, and private deal processes
· Leverage existing data sets, as well as identify and trial new data sets, in order to interrogate hypotheses
· Present your work internally to the working teams and other modeling teams
· Spend time with private market partners to better understand how it works, how software is used, and what data is critical to industry practitioners daily workflows
You should possess the following qualifications:
· Strong independent development of predictive models in common open-source statistical programming languages (Python, SQL/BigQuery)
· Experience working with high-dimensional and sparse datasets, as well as recognition of when and how to combine such datasets to enhance their value
· Familiarity with time-series and spatial analysis methods and software, particularly mapping tools
· Strong communication skills, with an emphasis on the ability to understand your audience and flexibility to communicate complex topics to non-experts
Starting date: Mid-September (flexible)
Location: NYC office (combination of virtual/in-person)
Interested Ph.D. candidates can send resumes and expression of interest to Aziz Lookman at Two Sigma by email: Aziz.Lookman@twosigma.com
In addition, those Ph.D.’s that might be interested have been asked to briefly answer the following hypothetical question:
“The profitability of medical care businesses varies considerably across different specialties and across different geographies. For example, certain behavioral health therapies are in great demand in some parts of the US, and businesses offering these services are very profitable”. Suppose we wanted to invest in businesses providing medical services in the state of California. What specific data would you use to identify specialties likely to be very profitable over the next five years? Please provide a clear explanation for how the datasets you collect could be used to identify profitable specialties. You can make any realistic assumption about how you would go about obtaining the desired data.
a. Please DO NOT include any confidential or proprietary information.
b. Your answer should be between one paragraph to one page in length.
c. You are free to include figures, graphs or tables if you like, but no need to do so.
e. You are not expected to collect or analyze any data.