Top Senior Level Data Science Jobs in NYC, NY
As a Senior Manager, Data Scientist for Card Partnerships, you will lead a team in designing and executing R&D initiatives, developing next-generation card risk models using machine learning, and collaborating with cross-functional teams to deliver impactful products while nurturing the growth of your associates.
As a Principal Associate in Data Science at Capital One, you will work on cutting-edge projects using transformer models, large language models, and multi-modal technologies to analyze unstructured data sources like call transcripts and document images. You will lead data annotation projects, collaborate with business stakeholders, and leverage a variety of technologies including Pytorch, Hugging Face, and AWS.
As a Senior Manager, Data Science at Capital One, lead a team to develop machine learning models using Python and other technologies to provide data-driven solutions for customer-centric financial products. Collaborate with cross-functional teams to deliver innovative products and drive business strategies.
Lead Data Scientist role at GoodRx focusing on data science projects around consumer pricing, incentives & offers, and insurance. Responsible for mentoring peers, building forecasting systems, and supporting the technical roadmap.
CreatorIQ is looking for a Principal Data Scientist to lead machine learning projects using influencer marketing datasets. Responsibilities include leading development, ideation, data engineering, client collaboration, communication, and internal development of data science best practices.
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Join JP Morgan Asset Management's Data Science team to enhance investment processes using cutting-edge machine learning in a collaborative environment. Responsibilities include collaborating with stakeholders, developing NLP/ML solutions, curating datasets, experimenting with model architectures, and delivering results to stakeholders.
Ontra is seeking a Staff Data Scientist to help propel the future of legal tech AI using data. The Staff Data Scientist will work with product stakeholders to identify areas where data insights can provide business value and will devise data projects that address those needs. Responsibilities include influencing product development, growing relationships and data culture, democratizing data insights, informing strategy, serving as a subject-matter expert, and being a technical mentor.
As a Principal Marketing Data Scientist at Zocdoc, you will lead high priority analytics projects in collaboration with the marketing teams. Your responsibilities include analyzing performance data, forecasting marketing initiatives, leveraging Python and/or R for scalable solutions, and building relationships with stakeholders. This role requires 7+ years of experience in marketing analytics, expertise in marketing attribution, familiarity with digital marketing tools, and experience with MMM/MTA models.
Lead Data Scientist role at Brigit, a financial health company, focusing on modeling and analyzing credit risk, optimizing marketing spend, and reducing churn. Requires advanced degree in data science or related field, 5+ years of data science experience, proficiency in Python and SQL, machine learning expertise, and experience with model deployment.
Oversee data-driven assessment of provider quality and manage team of data scientists and clinical researchers. Develop clinical metrics, lead team, and provide industry thought leadership through whitepapers and blog posts. Ideal candidate has 8+ years of data science experience, management experience, healthcare background, and a desire to improve the U.S. healthcare system.
Seeking a Senior Data Scientist with expertise in private markets and alternative investments to analyze complex data sets, develop data models, create data visualizations, collaborate with teams, and stay updated on industry trends.
Work as a Staff Data Scientist at Enigma, a company focused on providing reliable data about businesses. Use machine learning, statistics, and code to improve data accuracy and product usability. Collaborate with cross-functional teams to solve challenging problems in data science.
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