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Top Data Science Jobs in New York City, NY
The Analyst, Revenue Strategy will support the Enterprise Sales team through reporting, forecasting, RFP analysis, and strategy planning. This role involves analyzing revenue trends, maintaining data tracking methodologies, building reporting templates and dashboards, and conducting marketplace analysis to identify revenue opportunities.
As a Lead Data Scientist, you'll build and optimize models to assess credit risk, predict customer churn, and enhance marketing spend efficiency. You'll work with structured data, collaborate with cross-functional teams, and monitor model performance for ongoing improvements.
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The Senior Data Scientist will analyze complex data sets, develop data models and algorithms, create visualizations, collaborate on data-driven products, and document findings effectively. The role requires expertise in SQL and Python, along with a strong understanding of private markets and alternative investments.
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As a Principal Data Scientist at Overjet, you will lead analytics initiatives, collaborate with cross-functional teams, and provide actionable insights to enterprise customers using data-driven strategies, leveraging Python, SQL, and data visualization tools.
The Summer IT & Data Science Intern will support the Tapestry corporate team by leveraging skills in IT, Data Science, and Analytics. They will work within various departments, developing critical skillsets and gaining practical experience during a 10-week internship.
The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to improve Cedar’s healthcare platform. Responsibilities include deep data analysis, building pipelines, collaborating with engineering teams, and evaluating model performance to enhance patient experiences.
The Lead Data Scientist will design, develop, and deploy machine learning models to solve complex fintech challenges. Responsibilities include analyzing datasets, building predictive models, optimizing performance, maintaining machine learning pipelines, and collaborating with engineering teams to integrate models into production. The role requires strong statistical analysis skills and extensive experience in data science.
The Senior EDI Analyst is responsible for monitoring and improving EDI systems, conducting testing, troubleshooting errors, and collaborating on cross-functional projects. This role supports procure-to-pay and order-to-cash processes, ensuring accurate data exchange with trading partners.
The Associate Scientist will develop robust analytical assays to support early vaccine development, including cell-based assays and ELISA. Responsibilities include testing samples, documenting experiments, analyzing data, and authoring technical documents while staying current with scientific literature.
As an Applied AI/ML Data Scientist, you will innovate investment banking through AI and data analytics, develop machine learning systems, analyze complex datasets, and present insights to stakeholders. You'll collaborate with a diverse team to push the boundaries of financial technology.
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