Top Remote Senior Level Data & Analytics Jobs in NYC

Seeking a Director of Data Science to lead a team in leveraging data for business decisions, optimizing marketing strategies, and driving business growth through analytics. Responsibilities include developing quantitative models, building automated reporting, and monitoring marketing campaigns.

The Staff Analytics Data Engineer in the Commercial Analytics & AI organization at Pfizer is responsible for leading and owning strategic data projects, architecting scalable data pipelines, solving complex data challenges, collaborating with senior leadership, and mentoring teams. The role involves working on data pipeline development and optimization as well as building test automation tools and frameworks for testing pipelines.

The Staff Analytics Data Engineer role at Pfizer involves leading and owning strategic data projects, designing and building scalable data pipelines, solving complex data challenges, collaborating with senior leadership and business partners, and mentoring teams in data engineering principles and technologies.

Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, optimize decisioning pipeline, experiment with modeling techniques, and partner cross-functionally with teams.

As a Staff Data Scientist in Marketing at Cash App, you will optimize marketing efforts, analyze A/B experiments, and provide actionable insights to drive business success. You will collaborate with cross-functional teams to enhance the customer experience and drive growth. Join us to redefine the world's relationship with money!

Join Cash App as a Senior Data Scientist in the Support organization. Analyze large datasets, drive meaningful change in customer interactions, and design A/B experiments. Partner with operations and cross-functional teams to improve customer experiences. Must have a Bachelor's degree with 5+ years of experience or a graduate degree with 2+ years of experience in statistics, data science, or a STEM field. Proficiency in SQL, data visualization tools, scripting languages, and statistical concepts required.