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Top Hybrid Data Science Jobs in New York City, NY
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.
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.
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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.
The Principal Data Scientist will lead the development of machine learning models to enhance customer experiences and anticipate needs across Capital One's digital products. Responsibilities include data exploration, model building, and collaboration with business teams to improve outcomes in marketing and fraud prevention.
The Data Scientist II will build and scale econometric models for Disney Streaming Services, quantify marketing ROI, support strategic analysis, and automate long-term marketing mix modeling. The role requires substantial quantitative skills and the ability to mentor analysts while providing insights to drive marketing efficiency.
As a Data Analytics Senior Consultant at CNA, you will lead data analytics initiatives to optimize underwriting strategies. Responsibilities include developing automated scorecards, conducting scenario analyses, providing insights for decision-making, and collaborating with senior leadership and cross-functional teams to drive business outcomes.
As a Senior Distressed Credit Analyst, you will analyze distressed companies, train and develop the analyst team, build client relationships, and monitor distressed market trends using advanced technology to produce insightful reports.
The Senior Analyst will empower decision-making through data and analytics by analyzing performance marketing results. Responsibilities include developing insights, optimizing marketing investments, and ensuring robust measurement strategies across channels. The role collaborates with various teams to enhance campaign effectiveness and reporting accuracy.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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