MS/PhD Data Scientist Internship — Market Intelligence

Tradermath; New York (NY); On-site; USD 130,000 - 175,000; Full time

Job summary

Point72 is offering a Summer Internship Program for a Data Scientist to support the Market Intelligence team in New York. You will conduct research on large datasets using machine learning and statistical methods to inform investment decisions.

The program lasts 10 weeks, with mentorship, intern programming, and exposure to tools used firm-wide. You will work with Analytics colleagues and leadership to develop technical, writing, and presentation skills while networking across departments.

Qualifications

• Pursuit of master’s or PhD degree in a quantitative discipline.
• Demonstrated interest in machine learning, statistical models, and data mining tools.
• Strong programming skills in Python, R, Spark, and/or SQL.
• Exceptional understanding of statistics and advanced modeling techniques.
• Ability to communicate complex analyses and results clearly.
• Commitment to the highest ethical standards.

Responsibilities

• Managing all aspects of the research and execution process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring.
• Working alongside Analytics team members who deliver research findings to investment teams, portfolio managers, and other internal clients.
• Driving technical innovation through a collaborative R&D process.

Skills

Python

R

Spark

SQL

Machine Learning

Education

Master's or PhD in quantitative discipline

Job description

Point72 is offering a Summer Internship Program for a Data Scientist to support the Market Intelligence team in New York. You will conduct research on large datasets using machine learning and statistical methods to inform investment decisions.

The program lasts 10 weeks, with mentorship, intern programming, and exposure to tools used firm-wide. You will work with Analytics colleagues and leadership to develop technical, writing, and presentation skills while networking across departments.