Top Principal Data Scientist Jobs in NYC, NY

As a Data Scientist at Clay, you will drive strategic insights, develop self-serve analytics, establish best practices, and set up data infrastructure to transform data into actionable recommendations, directly impacting product and go-to-market strategies.

The Senior Associate, Data Scientist will leverage machine learning technologies and work with a cross-functional team to build and deploy models that improve credit card customer acquisitions for Capital One. Responsibilities include collaborating with engineers and analysts, developing machine learning models, and translating complex data insights into actionable business goals.

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.

As a Data Scientist, you'll analyze data to provide insights that enhance operational efficiency and member satisfaction for Peloton's Supply Chain and Global Member Support. You'll collaborate with cross-functional teams, build predictive models, create dashboards, and communicate recommendations to inform business strategies.

As a Principal Associate Data Scientist at Capital One, you will collaborate with data scientists and software engineers to build machine learning models and analyze large datasets. Your role includes delivering insights, improving decision-making systems, and translating complex analytical results into actionable business strategies.

As a Senior Data Scientist at Grubhub, you will lead efforts in building scalable experimentation processes, define evaluation metrics, conduct analyses, and collaborate with cross-functional teams. Your role involves leveraging the Grubhub Experimentation Platform and delivering data-driven insights for key product decisions, focusing on experimentation and causal inference in the Diner & Fulfillment area.

As a Senior Associate Data Scientist, you'll lead projects using advanced data science methods, including Natural Language Processing and Computer Vision. Collaborate with teams to develop machine learning models, analyze structured and unstructured data, and innovate with generative AI technologies to enhance customer servicing applications.

As a Senior Data Scientist, you'll lead model-driven projects aimed at extracting insights from customer communications, utilizing generative AI, deep learning, and large-scale data annotations to enhance the customer experience. Collaborate with various teams to build effective machine learning solutions while communicating with stakeholders to align data insights with business goals.

Grubhub is seeking a Data Scientist to work in the Discovery and Ads teams, focusing on providing high-quality merchant recommendations and ads. Responsibilities include creating and validating models, proposing algorithmic approaches, designing A/B tests, and driving technology best practices. The role involves collaboration with data scientists, engineers, and product teams to improve recommendations and search functionalities. The Data Scientist will also analyze user engagement and business performance through data-driven insights.

As a Data Scientist at Snap Inc, you will leverage quantitative analysis, data mining, and statistical modeling to provide actionable insights for business and product decisions. You will collaborate with cross-functional teams to improve product performance and identify key opportunities, while developing metrics and visual reporting to enhance communications.

As a Data Scientist Senior Associate, you will manage analytics workflow, utilizing advanced techniques like machine learning to analyze macroeconomic and financial data. You will identify trends, develop presentations for senior management, and contribute to a continuous learning environment. Strong analytical and presentation skills are necessary, along with the ability to work independently.

As a Principal Associate Data Scientist at Capital One, you will develop machine learning models to prevent application fraud and enhance customer experience, working with a diverse team and leveraging a broad technology stack to analyze large data sets.

As a Senior Data Scientist, you'll lead the development of machine learning models to enhance credit underwriting decisions and improve business card product strategies. Collaborate with data scientists, engineers, and product managers, leveraging technologies such as Python and AWS to uncover insights from large datasets while managing model risk and translating technical work into business objectives.

The Data Scientist will evolve product databases, forecast demand trends, and develop analytic solutions. Responsibilities include maintaining data quality, supporting product launches, performing data analysis for business decisions, and contributing to capacity planning models and tools.

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 Principal Associate Data Scientist, you will develop next-generation Card risk models, enhance business performance, and invest in infrastructure tools. Collaborating with cross-functional teams, you'll leverage technologies like Python and AWS to build machine learning models and drive business improvements while supporting professional development and work-life balance.

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.