Top Senior Data Science Jobs in NYC, NY

As a Staff Data Scientist, you will monitor and analyze personal loans underwriting models, driving data-driven decisions and enhancing model performance through deep analytical insights.

The Data Scientist collaborates with leaders to develop predictive models, apply machine learning techniques, and provide insights for decision-making.

As a Lead Data Scientist, you will develop ML/AI solutions, collaborate with teams, present insights, and manage data projects to enhance business operations.

The role involves analyzing fraud and risk data, defining KPIs, collaborating on anti-fraud strategies, and creating tools and dashboards for data accessibility at Whatnot.

The Senior Data Scientist will lead the development of personalization algorithms, collaborate cross-functionally, build data pipelines, and optimize machine learning models.

The Data Scientist III leads analytics initiatives focusing on AML/CTF, using technical expertise to develop advanced models and interpret data for key stakeholders.

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

As a Senior Data Scientist, you'll lead the development of machine learning solutions, collaborate with teams, and drive data-driven insights across products. You will utilize Python, AWS, and other technologies to create models that enhance customer experiences.

As a Principal Data Scientist, you'll innovate and develop machine learning models, analyze vast data, and work with cross-functional teams to deliver valuable customer products.

The role involves developing data solutions, collaborating with customers, and applying rigorous data science to affect business outcomes. Responsibilities include designing and deploying data solutions, conducting experiments, and influencing product strategy.

As a Senior Data Scientist, you will deliver real-time insights, develop and productionize ML models, design data workflows, and collaborate across teams.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

As a Senior Data Scientist, you will analyze product growth opportunities, conduct A/B experiments, and communicate insights to drive product strategy for Robinhood's brokerage products.

Lead and enhance financial forecasting systems at Duolingo, working with various teams to deliver accurate forecasts and insights, while mentoring data scientists and advancing technical methods.

The Senior Data Scientist for Marketing will analyze data, develop predictive models, and provide insights to drive marketing decisions at Rockstar Games.

As a Senior Data Scientist, you will develop models for fraud prevention, collaborate with engineers, and analyze data to enhance client services.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

As a Staff Data Scientist, lead data science initiatives, develop AI/ML models, mentor team members, and drive data-driven strategy and decision-making.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

The Senior Data Scientist will enhance provider data insights, develop algorithms, collaborate with teams, and mentor members in a healthcare-focused environment.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

The Product Data Scientist will drive product decisions through data analysis including A/B testing, maintain data pipelines, and collaborate with teams.

Design, build, and maintain data analytics and ML solutions to support CRM, marketing, demand planning and business strategy. Query large datasets, develop and test machine learning models, perform quantitative analysis, and deliver actionable insights and visualizations to drive data-driven decisions.

As a Senior Data Scientist, you will develop predictive models, conduct EDA, collaborate cross-functionally, and drive data-driven decisions.

The Data Scientist will drive data-informed decision making at Anthropic, partnering with product and engineering teams to analyze data, derive insights, and shape the platform roadmap for AI products.