Top Data Science Jobs in NYC, NY

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

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

As a Data Scientist, you'll analyze complex datasets, collaborate with teams to derive insights, and validate strategies through quantitative research in financial markets.

As a Data Scientist at Jerry, you'll conduct analyses, design experiments, and drive data-driven decisions to support growth initiatives in a rapidly expanding startup.

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

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

The Scientist II will carry out complex research projects, executing data analyses and communicating scientific findings for biopharmaceutical clients using the Tempus data platform.

The Staff Data Scientist will enhance Pinterest's Shopping experience through machine learning, causal inference, and robust methodologies, impacting product strategy and mentoring junior data scientists.

As an Applied Data Scientist, you'll analyze CRE market trends using statistical and machine learning models, optimize data pipelines, and communicate insights effectively.

As a Data Scientist, you'll develop AI-driven solutions for engineering, analyze data for predictive modeling, and collaborate with engineers and customers, requiring strong expertise in deep learning and production-ready models.

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 Scientist will lead research projects for biopharma partners, integrating data analysis and providing insights to support drug development decisions.

As a Senior Data Scientist, you'll shape the AI-first mission at Dropbox by leveraging data insights, collaborating with teams, and driving product strategies.

Lead data science initiatives focusing on healthcare fraud, waste, and abuse. Perform detection analysis, assess trends, and present findings to support decision-making.

As a Data Scientist for marketing at Anthropic, you will analyze marketing performance, define metrics, improve marketing effectiveness, and promote a data-driven culture.

Data Scientist needed to analyze customer interactions, optimize product analytics infrastructure, ensure data quality, and generate insights using classical and LLM methods.

As a Data Scientist at SESAMm, you will conduct advanced data analysis, develop analytical models, maintain data pipelines, and collaborate across teams to enhance investment analysis.

The role involves leading data quality management efforts, creating data management capabilities, and mentoring junior data scientists.

The Data Scientist will enhance methodologies, conduct research using NPD data, apply statistical and machine learning techniques, and communicate results effectively.

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

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

The Data Scientist will manage data analysis frameworks, ensure data correctness, and provide insights into trading strategies through statistical analyses.

As a Senior Data Scientist, you will evaluate and validate AI models, perform statistical analyses, and communicate findings to stakeholders while collaborating cross-functionally.

The Principal Data Scientist will develop machine learning models to analyze customer behavior, enhance customer experiences, and improve fraud detection using extensive datasets and advanced statistical techniques.