What are the responsibilities and job description for the Data Scientist position at StreetID?
Building on our heritage of public markets investing, lifecycle investment platform has expanded across venture, growth, thematic, and structured capital strategies over the last decade. Our singular obsession with technology drives how we work as a firm. As investors, we seek out the greatest innovators with the biggest ideas. We are a founder-led firm dedicated to helping fellow founders build. At every stage, we champion the insights, connections, and experience that create world-shaping companies.
Data Science Team
The data science team works directly with the investment professionals on a daily basis and is integral in all current and future investments across the firm. Our goal is to track every component of the economy in real-time.
This encompasses projects such as:
· 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