Data Scientist Hybrid (NYC) 3-Month Contract $75-85/hr Role Overview We are partnered with wealth management firm that specializes in delivering tailored wealth management, financial planning, and investment services to high-net-worth individuals, families, and businesses. The firm focuses on providing comprehensive solutions to help clients manage and grow their wealth, plan for retirement, and navigate complex financial situations. Responsibilities Partner with Product, Engineering, and/or Design to enable clear, impactful, actionable, and innovative insights that shape key decisions. Conduct rigorous, high-quality analyses that shape the way they think about the future. Define and evaluate key metrics and understand their levers. Leverage clear communication skills, with an aptitude for translating analysis results into compelling and comprehensible concrete recommendations for the business. Adapt to a rapid changing environment and be proactively inquisitive to identify new areas of opportunity for Data Science. Have an eye for scale and identify ways in which your work can have broader impact. Have a strong sense of responsibility and integrity and can balance both short-term and long term objectives. Qualifications 3 years of experience in Data Science & Analytics (prior experience in a start-up, fintech, or social media companies in a product/go-to-market capacity is a plus). SQL - you should be fluent with UDFs, joins, aggregation functions, and window functions to build complex queries for analyses. Prior experience with Python/R. Experience with visualization tools like Tableau, Looker, Amplitude Experience with ETL frameworks like Airflow & Stitch. Advanced degree in a quantitative field or equivalent experience in one or more of the following: Mathematics, Statistics, Economics, Computer Science, Machine Learning, Data Science, Engineering, etc. Strong knowledge of Statistics, Experiments (e.g. A/B Testing), Hypothesis testing, Machine Learning, and other Analytics approaches. Bonus: Technical chops w/ Git, Terminal, CLI, etc. Experience in: Causal Inference, Experiments Variance Reduction (e.g. Delta Method, Post Stratification, CUPED), Machine Learning (Regression, Classification, Clustering, SVD/PCA, etc.), & Behavioral Econ.
