Data Science Engineer is responsible for
- Forecasting entries on a company’s income statement via real-time alternative datasets.
- Tracking the launch of a new product and its impact on that company versus its competitors. Analyzing and decomposing stock market performance of various securities in different scenarios. Quantitatively screening for emerging venture-backed companies
- Building shared tooling to improve the team’s day-to-day workflow
Job Description
The data scientist role uses SQL, R, and data visualization to inform investment decisions. This role is based in our New York City office.
This is a generalist role that works across sectors, company stages, and datasets.
The ideal candidate is simultaneously very technical and a strong communicator, is eager to take on responsibility quickly, and can juggle multiple priorities.
Key skills include:
- Proficient programming abilities, particularly with a dataframe-based library (data.table, dplyr, pandas)
- Analysis and interpretation of data
- Strong communication skills, needed to translate between technical projects and business stakeholders
- Ability to manage multiple workstreams simultaneously
Minimum Requirements
Requires a bachelor’s degree in a quantitative field (e.g. computer science, statistics, mathematics, economics) or a closely related field, or equivalent professional experience.
Key skills include:
- Proficient programming abilities, particularly with a dataframe-based library (data.table, dplyr, pandas)
- Analysis and interpretation of data
- Strong communication skills, needed to translate between technical projects and business stakeholders
- Ability to manage multiple workstreams simultaneously
