Top Senior Level Data Science Jobs in NYC, NY
As a Principal Marketing Data Scientist at Zocdoc, you will analyze performance data, forecast marketing initiatives, and collaborate with marketing teams to recommend strategy shifts. You will build scalable solutions using Python and/or R, design studies to measure marketing impact, and partner with data engineering to optimize data usage, all aimed at improving patient experiences.
This role involves utilizing advanced analytical techniques to derive insights from large datasets, leading and mentoring teams, managing AI and GenAI solution development, and collaborating with clients to optimize operations and solve business problems.
As a Lead Data Scientist, you will develop and optimize models to identify credit risk, predict customer churn, and improve retention and marketing spend efficiency. You will leverage rich data to enhance financial services for underserved customers and collaborate closely with Product and Engineering teams.
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The Senior Analyst will support analytics and research for U.S. Structured Credit ratings, assist in the development of rating methodologies, manage Python-based rating models, and conduct analytical and market research. Responsibilities also include documentation maintenance, training analysts, and supporting ratings administration.
As a Data Scientist III at Cedar, you will leverage AI to develop features that enhance patient billing clarity and streamline healthcare workflows. Responsibilities include creating curated datasets, designing AI solutions, and collaborating across teams to drive business value through data insights.
The Senior Analyst in Marketing Science & Analytics will analyze and optimize marketing investments, develop insights from performance metrics, and ensure accurate measurement of all marketing channels. Collaborating with various teams, the role requires establishing campaign goals and providing regular performance reports.
The Senior Credit Manager / Senior Staff Data Scientist will analyze data to develop credit risk strategies for personal loans and collaborate with various teams to enhance lending strategies and monitor risk trends. The role focuses on building algorithmic risk strategies and leveraging data for informed decision-making.
As a Senior Data Scientist, you will develop and deploy machine learning models to drive business decisions, mentor junior scientists, and design data products. You will collaborate with other teams and focus on model monitoring, validation, and implementing best practices in data science.
As a Growth Data Scientist at Quizlet, you will drive business insights through data, develop analytical frameworks, partner with product and engineering teams, conduct A/B testing, present insights to the company, and improve the way success is measured.
The Credit Analyst will conduct in-depth credit research to identify investment opportunities across the High Yield market, analyze businesses and capital structures, develop thematic trade ideas, and monitor existing positions while maintaining external relationships for insights on issuers.
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