Top Data Science Jobs in NYC, NY

As a Data Scientist at Jerry, you'll lead data-driven decisions, design A/B tests, and optimize user acquisition strategies, leveraging machine learning for insights.

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

As a Staff Data Scientist, collaborate with teams to turn large data into insights, define metrics, and drive product strategies for Unity's Ads group.

As a Staff Data Scientist, lead high-impact data science projects, mentor team members, and innovate using AI and machine learning. Collaborate across teams to enhance products and deliver insights.

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 Staff Data Scientist, you'll lead causal measurement for paid search marketing, execute production models, design experiments, and mentor teams using advanced data science methodologies and technologies.

As an AI Data Scientist, you will design and deploy AI tools for market research, analyze data, and collaborate across teams, utilizing machine learning and data processing techniques.

Lead Data Scientist overseeing experimentation and product analytics. Responsibilities include establishing practices, mentoring teams, and collaborating on user engagement projects.

The Senior Data Scientist will drive business strategy with predictive insights, collaborate with teams for analytics solutions, and promote a data-driven culture.

As a Data Scientist, you will collaborate with scientists to develop algorithms and software solutions for data analysis and machine learning, while engaging in multidisciplinary teamwork to meet project objectives.

The role involves partnering with marketing teams, managing data science projects, establishing metrics, and driving data-driven culture and insights. Requires expertise in statistics, programming, and business intelligence tools.

The Staff Data Scientist will lead projects to drive insights, define business metrics, advance experimentation, and collaborate with various teams to enhance user experience and product performance.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

The Product Data Scientist at Bask Health analyzes data to uncover insights that shape product development and influence business strategies, working cross-functionally to inform decisions in healthcare.

The Data Scientist role focuses on analyzing customer data to translate insights into compelling ROI narratives, support automation of analytical workflows, and contribute to product intelligence by aggregating market trends.

Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.

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

The Senior Data Scientist will develop and integrate machine learning models to enhance product features and user experiences while collaborating with cross-functional teams to address business challenges.

The Senior Data Scientist will develop and integrate data science models for investment decisions, fraud detection, and risk management and collaborate with cross-functional teams.

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.

As a Data Scientist, develop machine learning models for predicting clinical outcomes and improving patient pathways in cardiopulmonary care, using complex data analysis and collaboration with healthcare experts.

As a Data Scientist I, you'll collaborate on machine learning projects, analyze data, develop algorithms, and communicate findings effectively to business leaders.

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

This role involves collecting and analyzing complex data sets, developing predictive models, and generating insights for business decisions.