Data Scientist, Proprietary Research
At a glance
Mid-level Data Science role at Point72. New York · full-time · $125,000–$150,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Use machine learning and statistical methods to model large, unstructured datasets and find investment-relevant insights
- Run research from method choice and data gathering through quality checks, analysis, and results monitoring
- Present research conclusions to investment teams, portfolio managers, and other internal clients
- Work with teammates on collaborative research and development to advance technical approaches
What you bring
- A master’s or PhD in a quantitative field, plus at least one year of professional experience
- Strong programming ability in Python, R, Spark, or SQL, with Python preferred
- A solid grounding in statistics and advanced modeling, plus interest in machine learning and data mining
- You can explain complex analyses and their results clearly
Who this fits
This role suits a quantitative researcher who enjoys working with large unstructured datasets and turning analysis into findings for investment professionals. You’ll collaborate with investment and compliance colleagues and need to adapt as business priorities shift. The position is based in New York.
From the employer
ABOUT PROPRIETARY RESEARCH
On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions posed by our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within.
ROLE SUMMARY
Our Data Scientists conduct research through data mining and statistical modeling to discover insights from big data that are used by our investment professionals to make investment decisions. You will have the opportunity to work in a highly collegial environment that emphasizes teaching and learning as a team. In this role, you will:
- Tackle the challenges of featuring and modeling large unstructured data using machine learning and statistical techniques
- Manage all aspects of the research and analysis process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring
- Deliver research findings to investment teams, portfolio managers, and other internal clients
- Work within a team to help drive technical innovation through a collaborative R&D process
WHAT EXCITES YOU
- Staying current on the evolving alternative data market and its role in discretionary investing
- Speaking with experts both inside and outside the Firm to understand data needs and offerings
- Multi-tasking and switching gears frequently to address the needs of the business
- Analytical thinking and ability to sift through large unstructured data sets
- Working in a fast-paced, dynamic environment
- Working as part of a cross-functional team made up of investment, research, and compliance professionals
- Experiment-based approach with freedom to innovate
WHAT EXCITES US
- Excellent attention to detail, organization, and project management skills
- Strong verbal and written communication skills
- Superb business intuition and a solution orientated, methodological approach to problem solving
- Ability to collaborate and build relationships across business units within the Firm
- People who “elevate the room” through their work ethic, curiosity, and solution-orientated attitude
- Adherence to the highest ethical standards working closely with the Firm’s Compliance team
WHAT’S REQUIRED
- Demonstrated interest in machine learning, statistical models, and data mining tools
- Masters/PhD in a quantitative discipline w/ 1+ year of professional experience
- Strong programming skills in Python (preferred), R, Spark, SQL
- Exceptional understanding of statistics and advanced modeling techniques
- Ability to communicate complex analyses and results clearly
WHAT SUCCESS LOOKS LIKE
- Integrity – You demonstrate 100% commitment to the highest ethical standards
- Ownership – You take charge of your work, uphold your commitments, and always do your best
- Commerciality – You focus on what matters, ask necessary questions, and are diligent about not wasting time
- Humility – You welcome and are receptive to feedback and learn from past mistakes
- Adaptability – You can triage business needs and context switch quickly and efficiently
- Admirability – You elevate the room through your work ethic, domain knowledge, and work product
WE TAKE CARE OF OUR PEOPLE
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully paid health care benefits
- Generous parental and family leave policies
- Mental and physical wellness programs
- Volunteer opportunities
- Non-profit matching gift program
- Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community
- Tuition assistance
- A 401(k) savings program with an employer match and more
ABOUT POINT72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.
The annual base salary range for this role is $125,000 - $150,000, which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science$120k+
Find me workBy the team behind dataroles.