Top Data Science Jobs in NYC, NY

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.

Lead a team of data scientists in developing machine learning models to enhance subscription and monetization strategies across Disney's streaming platforms. Collaborate cross-functionally to analyze data, derive insights, and translate findings into actionable business strategies, while mentoring team members to foster a learning environment.

The Senior Data Scientist will collaborate with cross-functional teams to develop machine learning models and apply innovative data-driven solutions to enhance commercial banking operations, while mining insights from large datasets to inform business decisions.

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.

As a Staff Data Scientist, you will design, implement, and scale features for Datadog, focusing on business questions and opportunities. Your role involves hands-on development of machine learning models, mentoring team members, and collaborating across departments to advance data science best practices.

As a Senior Associate Data Scientist, you will work on building machine learning models for compliance and risk management, translating complex data into actionable insights, and collaborating with data scientists and engineers to create data-driven solutions.

As the Manager of Data Science, you'll lead a team focused on deploying and optimizing predictive models for consumer credit risk management. This role involves leveraging machine learning technologies and working collaboratively with data scientists, engineers, and product managers to translate complex analyses into actionable business insights.

As a Manager of Data Science, you will lead a cross-functional team to create AI/ML solutions for personalized customer experiences using large datasets. Responsibilities include model development, leveraging various technologies, and translating complex data insights into business goals.

The Data Science Manager will develop advanced machine learning solutions for customer management valuation, maintaining model pipelines and translating data science outcomes into business insights, while collaborating with various stakeholders. This role requires strong engineering skills and proficiency in Python and machine learning algorithms.

The Principal Associate Data Scientist at Capital One will innovate and maintain data solutions to tackle business challenges. Responsibilities include developing data expertise, deep analysis on credit bureau data, and presenting insights to senior stakeholders. This role requires a blend of technical and analytical skills to enhance data-driven decisions.

As a Data Scientist Lead, you will manage advanced analytics projects across various teams, focusing on sales and operations forecasting, segmentation, and presentation of insights. You will lead a team in developing forecasting models and collaborate with different departments to enhance analytics and insights processes.

The Lead Data Scientist will collaborate with various teams to develop models, perform statistical analysis, and create visualizations to enhance decision-making. Responsibilities include designing and improving machine learning models, mining large datasets, and communicating actionable insights to stakeholders.

The role involves partnering with cross-functional teams to build and implement machine learning models, utilizing a variety of technologies to analyze large datasets, and applying statistical methods for model development. The Data Scientist will also translate complex analyses into actionable business insights and improve customer management strategies.

The Principal Data Scientist will own the marketplace health by defining metrics, conducting analyses, building auction mechanics, and collaborating with R&D and Sales for growth strategy and product roadmap. Responsibilities include monitoring marketplace metrics and driving growth through deep dives on impacts for high-stakes launches.

As a Junior Consultant, you will collaborate with a team to analyze data, build statistical models, and translate insights into strategic recommendations for clients. You'll manage projects from initial meetings to the final presentation, contributing to innovative solutions in data science.

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 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.