Top Hybrid Senior Level Data & Analytics Jobs in NYC

Looking for a Director of Data Science and AI to lead advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights for Pfizer's Commercial organization. Collaborate cross-functionally to deliver insights, enhance data science capabilities, and drive data-driven decision-making. Must have strong communication skills and ability to interpret technical concepts for diverse stakeholders.

Lead data pipeline, data strategy, and data visualization efforts for the Global Product Analytics team. Design and implement data models, automate data processes, mentor team members, and guide the Analytics Engineering roadmap. Collaborate with stakeholders to develop advanced analytical solutions and ensure data quality for new product releases.

Leverage open-source technologies and cloud solutions to build elegant features, develop and automate large scale data platform infrastructure, design reusable components and frameworks, streamline data ingestion, and design data models for optimal storage and retrieval.

As a Data Operations Manager at Canoe Intelligence, you will drive subject matter expertise in private market data to execute new products, manage delivery through onshore and offshore teams, and work closely with product managers to define the future product roadmap. Responsibilities include ensuring high-quality data output, championing best practices, deriving insights, and continuously improving data processes.

Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead cross-team projects, maintain high code quality, collaborate with various teams, and contribute to the growth of development capabilities. Requires 8+ years of backend software development experience.

Design, implement, and scale critical machine learning components and services, build a next-generation training framework, optimize model performance, automate machine learning model lifecycle, collaborate across teams, and provide technical direction.

Seeking a Senior Advertising Data Scientist at Philo to work on ad auction and placement optimization problems, lead the team in balancing monetization and quality of experience, and build data solutions for the streaming service. Responsibilities include modeling, running experiments, analyzing customer value, and market research.