> Markdown version of [/jobs/ext/3659265-data-scientist](https://www.wearedevelopers.com/jobs/ext/3659265-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Hedge Fund - **Location:** West New York, NJ, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), C++ (Programming Language), Computer Programming, Python (Programming Language), PL-SQL, SQL Databases, Transact-SQL, Data Processing, Information Technology, Data Analytics - **Published:** October 9, 2026 - **Apply:** https://www.disabledperson.com/jobs/75856576-data-scientist ## About the Role Ph.D. or Masters in computer science, mathematics, statistics or other field requiring quantitative analysis 3 + years of financial industry experience preferred Experience in high-performance analytical environments such as consulting analytics practices, quantitative teams, sports analytics, or adjacent data-driven Programming expertise in Python, C++, Java or C# Programming skills in SQL, PL-SQL or T-SQL Strong problem-solving skills Strong communication skills ## Description The systematic data group is looking for a Data Scientist to join our growing team. The team consists of content specialists, data scientists, analysts and engineers who are responsible for discovering, maintaining and analyzing sources of alpha for our portfolio managers. This is an opportunity for individuals who are passionate about quantitative investing. The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets. Principal Responsibilities Research potential alpha sources, and present to portfolio managers and quantitative analysts Utilize and maintain world-class data processing and transformation engines Build technology tools to acquire and tag datasets Engage with vendors, brokers to understand characteristics of datasets Interact with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximize their profitability Analyze datasets to generate key descriptive statistics