Senior Data Scientist — Bayesian Modeling | Leading Global Trading Firm (NYC)
$500,000–$800,000 year
On-site · New York City, New York, United States
Job Summary
Senior Data Scientist to develop Bayesian models and tools on small, messy datasets for discretionary investors, turning underutilized data sources into differentiated client-facing insights. You will build models and software, collaborate with senior market strategists, and engage directly with clients while reporting to the team lead. This highly technical, client-oriented role emphasizes Bayesian modeling, real-world data and delivering actionable analytics from a NYC office.
Required Qualifications
- 3–7 years of professional experience as a data scientist or in a similar quantitative modeling role
- Advanced degree strongly preferred — ideally a PhD in Statistics, Computer Science, Math, Operations Research, Computational Social Science, or a related field
- Hands-on experience with Bayesian statistics and modeling in a professional setting
- Strong programming skills in Python or R
- Experience working with consumer, marketing, or otherwise messy real-world data is a plus
- Grit, intellectual curiosity, and comfort building from scratch on a small team
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