Top Principal Data Scientist Jobs in NYC, NY

Lead strategic data science initiatives, focusing on ML models, data product development, and mentoring teams. Collaborate on data-driven projects.

The Data Scientist will build machine learning models to prevent fraud using big data, collaborating with cross-functional teams and leveraging various technologies.

As a Data Scientist, you'll create and implement machine learning models for credit card acquisitions while collaborating with cross-functional teams.

The Principal Data Scientist will lead data science initiatives, focusing on machine learning, ad targeting, and algorithm development, while ensuring user privacy and collaboration with cross-functional teams.

The Data Scientist will manage data operations, enhance data infrastructure, optimize data lifecycle management, and apply advanced analytics for actionable insights at NSIC.

As a Principal Data Scientist, you will innovate machine learning models to enhance decision-making and customer financial success. You'll collaborate with leaders to develop new data sources and improve modeling methodologies.

The Sr. Principal Data Scientist creates data models and analyzes large data sets to address business issues, leveraging advanced statistical and data visualization skills.

As a Data Scientist on the Trust & Safety team, you will analyze user behavior, assess product features, and model user experiences using machine learning.

As a Senior Manager in Data Science, lead a team to leverage transaction data using ML, and partner with cross-functional teams to develop products that enhance customer experience.

Lead the development of data science strategies for inventory and logistics planning, focusing on predictive modeling and optimizing operational efficiency.

As a Senior Manager, Data Scientist, you will lead a team to develop machine learning models and drive data-driven decision-making for partnerships at Capital One.

Lead AI innovation strategies, develop advanced AI/ML models, and guide cross-functional teams to enhance productivity and decision-making at The Hartford.

As a growth data scientist, you'll improve user experience and revenue through analysis and experimentation, defining metrics and communicating findings to influence product strategy.

The Senior Data Scientist applies quantitative analysis, data mining, and statistical modeling to provide actionable insights for product improvement and optimizes decision-making processes by collaborating cross-functionally.

The Manager, Data Science role involves partnering with cross-functional teams to deliver customer-focused products, building and evaluating machine learning models, and leveraging technologies to analyze large datasets for insights. The candidate must demonstrate strong technical and interpersonal skills to translate complex data solutions into business goals.

As a Data Scientist in Product, you'll transform data into insights, partner with teams, design experiments, and influence product decisions.

As a Data Scientist at Clay, you will drive data insights, build data infrastructure, enable self-serve analytics, and champion a data-driven culture.