Top Data Science Jobs in NYC, NY

The Data Scientist will design, build, and deploy machine learning solutions for automating claims adjudication in pet insurance, collaborating across teams, ensuring production readiness and ongoing optimization.

The Data Scientist at Snap Inc. applies quantitative analysis, data mining, and statistical modeling to deliver actionable insights, driving informed decision-making and optimizing product performance.

The Senior Customer Data Scientist will partner with customers to enhance their experimentation capabilities, guide statistical designs, and support analytical needs, ensuring effective adoption of Datadog's tools.

As a Senior Associate Data Scientist, you will collaborate with a team to develop machine learning models, utilize data analytics tools, and derive insights from large datasets to support business objectives.

As a Senior Data Scientist in Fraud Risk, you'll develop metrics, real-time monitoring systems, and implement predictive machine learning models to mitigate fraud while balancing customer experience.

The Senior Staff Data Scientist will lead causal inference and experimentation standards, mentor teams, and enhance data-driven decision-making across the organization, focusing on mental health impact.

The Senior Implementation Data Scientist will integrate Altana's platforms with customers, create analytical workflows, build value chains, and ensure positive client experiences while leveraging data science expertise.

The Data Scientist will analyze Tempus's clinical and genomic data to facilitate academic research by developing databases and improving data models.

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.

As a Product Data Scientist, you will analyze user behavior, drive experimentation, build data tools, and collaborate across teams to influence product strategy and innovation at Whatnot.

As a Data Scientist, you will partner with teams to build machine learning models and deliver AI solutions leveraging large datasets and various technologies.

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

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.

As a Data Scientist II, you'll analyze products, design experiments, and build metrics to enhance customer experience and product strategy at Coinbase.

As a Data Scientist II at Coinbase, you'll analyze products, conduct experiments, and develop metrics to enhance user experiences and drive product improvements.

The Data Scientist II will perform analyses to answer strategic questions, design experiments, and develop key metrics to support Coinbase's Institutional business.

As a Staff Data Scientist for Marketing Analytics, you will lead marketing performance analysis, develop measurement frameworks, and influence strategic decisions to drive patient growth.

As a Staff Data Scientist, you will lead product analytics, define measurement strategies, drive cross-team initiatives, and mentor junior data scientists to enhance mental healthcare outcomes.

Join the Garner Health Intelligence team as a Data Scientist to enhance provider performance metrics, develop algorithms, design data pipelines, and collaborate cross-functionally to drive data-driven solutions for healthcare insights.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

The Senior Data Scientist will influence product roadmaps, drive AI/ML capabilities, and perform deep-dive analysis to shape data-informed strategies.

The Data Scientist will analyze customer behavior data, drive business decisions through analytics, and collaborate with cross-functional teams to enhance product and revenue strategies.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

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.

Join Braze as a Field Data Scientist to collaborate with customers on data integration, build APIs and ML models, and drive customer success.