Top Remote Data Science Jobs in New York City, NY

This role involves driving engagement data science work for Instacart by focusing on product strategy and intelligent systems. Responsibilities include utilizing data to identify opportunities, estimating impact of new features, conducting experiments for impact measurement, and improving features through advanced data science methods including statistical and machine learning techniques.

As a Data Scientist Lead Consultant at Arity, you will develop and optimize machine learning algorithms to enhance the marketing platform using large datasets. Responsibilities include making key technical decisions, collaborating with cross-functional teams, and influencing business optimization strategies that drive revenue growth.

The Director of Data Science will oversee AI Insights at Movable Ink, managing a data team and guiding product analytics. Responsibilities include maintaining the internal reporting stack, mentoring client-facing teams, and presenting insights to senior client executives. The role focuses on advancing the Analytics product and driving improvements in the model suite through collaboration.

Lead a team of data scientists to deliver analytics solutions that positively impact business outcomes. Manage data science projects, implement predictive models, and improve deployed solutions. Ensure effective communication regarding data science methodologies and support project management practices.

As a Senior Data Scientist, you will leverage organizational data for insights that enhance user experiences and boost business efficiency. Key responsibilities include developing predictive models, deploying advanced analytics solutions, and collaborating with cross-functional teams to solve complex transportation challenges. The role emphasizes creativity, problem-solving, and a deep understanding of business needs.

The Senior Scientist will develop quantum chemistry algorithms, collaborating with cross-functional teams to create optimized quantum workflows and address real-world problems using IonQ's quantum computers, while building reusable software platforms.

Develop and deploy advanced data science models using LLMs, GPT, and RAG. Utilize deep learning techniques to drive business growth and enhance functionality on the platform. Communicate findings to stakeholders.