Quant Data Scientist — Hybrid NYC Analytics & AI

Howard-Sloan Search is seeking a full-time Analyst for Data Science & Analytics in New York. The role involves quantitative analysis and model development, requiring a bachelor’s degree in a quantitative field and skills in Python and SQL. The ideal candidate will have 0-2 years of experience and strong communication and problem-solving abilities. The position offers a competitive salary of $90–100K and a hybrid work schedule of 4 days in-office and 1 remote.
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