Top Hybrid Data Science Jobs in New York City, NY
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.
The Senior Research Scientist at Kensho will drive innovation in AI solutions, focusing on developing Large Language Models, long-context question-answering, complex reasoning, and improving alignment and tokenization techniques. The role emphasizes collaboration with a diverse team, ongoing R&D projects, and interaction with academia to advance machine learning technologies.
Join Kensho as a Research Scientist focused on developing and deploying NLP solutions. You'll collaborate with a team to solve complex problems and enhance models in areas like long-context QA, tokenization, and alignment. Engage in R&D, maintain academic partnerships, and innovate using advanced AI techniques.
Lead analytics and survey research for Applecart's client services. Manage data analysts and integrate data science into actionable strategies for clients. Oversee survey development, ensure quality assurance, and adapt methodologies for optimal results.
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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 Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to enhance and differentiate Cedar’s healthcare payment platform. Responsibilities include data analysis, feature engineering, and model performance monitoring, while collaborating with other teams to communicate insights and improve patient engagement.
As a Senior Data Scientist, you will analyze data, apply statistical models, and use machine learning techniques to derive insights and optimizations that inform product decisions. You'll collaborate with cross-functional teams to enhance product performance and contribute to Snap's long-term data strategies.
Lead the design, development, and deployment of machine learning models and algorithms in the fintech domain. Analyze datasets to extract insights, optimize performance, and implement scalable ML pipelines using Google Cloud Platform, particularly VertexAI and Google Dataflow. Collaborate with engineering teams for model integration and contribute to best practices in machine learning.
The role involves leading R&D efforts for the Clif Bar brand by overseeing new product development, coordinating trials, and managing specifications. Responsibilities include analyzing consumer insights, mentoring team members, and collaborating with cross-functional teams to enhance product quality and innovation.
As a Data Scientist in Product at Notion, you will work closely with product and engineering teams to analyze user interaction data, design experiments, and influence product decisions. You will create and maintain performance dashboards, communicate discoveries across the company, and drive impactful changes through data-driven 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.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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