Top Senior Data Science Jobs in NYC, NY

The Senior Data Scientist will analyze data to solve real-world problems, partner with product teams, and influence strategy through data-driven insights.

The Senior Data Scientist will develop actionable insights through quantitative analysis, collaborating with cross-functional teams to enhance product decisions and optimize performance using statistical modeling and machine learning techniques.

The Director of Data Science role at Capital One involves leading a team to build data pipelines and machine learning models, leveraging technologies like Python and AWS to derive insights for improving customer financial decisions.

The Senior Data Scientist will leverage data to inform product strategy and business decisions, conduct analysis, build models, and support stakeholders through data-driven insights.

The Data Scientist will analyze customer health, conduct quantitative research, develop insights for teams, and inform strategy based on data analysis.

As a Senior Data Scientist, you'll leverage data analysis, A/B testing, and machine learning methods to drive product improvements and influence decision-making across teams at Plaid.

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.

As a Data Scientist, you will advance applied ML capabilities for healthcare, develop LLM-based chart abstraction techniques, and enhance data science best practices.

Design and implement data pipelines, perform root cause analysis, ensure data accuracy, conduct exploratory analysis, develop predictive models, and create visualizations to optimize risk segmentation and support decision-making.

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

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 Data Scientist will design and implement causal inference models for underwriting and portfolio management, create algorithms for credit pricing, and lead ML infrastructure projects.

The data scientist will optimize credit and marketplace products using machine learning, create algorithms, analyze experiments, and manage ML infrastructure.

The Senior Data Scientist II will analyze healthcare data, create models for treatment adherence, and collaborate on analytics projects to improve patient outcomes.

The Data Scientist will design scalable data models, support data transformation, provide business insights, maintain data quality, and drive evidence-based decisions.

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.

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.

Conduct analysis, guide data metrics, oversee ETL jobs, and ensure statistical rigor. Collaborate with teams to drive impactful data science projects.

The Data Scientist will own product analytics, partnering with teams to transform data into insights, build dashboards, and support product growth.

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

As a Staff Product Data Scientist, you will analyze product usage, define metrics, derive insights, and influence product strategy and decision-making.

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.

The Senior Manager, Supply Chain Data Scientist leads optimization and ML solutions for retail supply chain, utilizing SQL and Python to improve planning accuracy and efficiency.

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.