Top Senior Level Data & Analytics Jobs in NYC

Seeking a Senior Data Engineer to enhance datasets and data products with a focus on data quality and best practices. Responsibilities include working with SQL, Python, building ETL/ELT pipelines, problem-solving, and ensuring data privacy. Requires 5+ years of Data Engineering experience.

The Manager, Digital Analytics at Grubhub will lead a team focused on consumer-facing e-commerce products, driving data collection and analytics to support business objectives. Responsibilities include collaborating with cross-functional teams, designing and implementing tracking requirements, ensuring data quality and consistency, building strategic dashboards, and providing training on data usage.

As a Staff Data Scientist - Marketing at Cash App, you will optimize marketing efforts, analyze campaigns, work with large datasets, and collaborate with cross-functional teams to drive business impact. Qualifications include a bachelor's or graduate degree in statistics or data science, proficiency in SQL and data visualization tools, experience with Python or R, and expertise in Causal Inference techniques.

Seeking a Deep Learning Research Scientist to push the boundaries of AI capabilities through novel generative AI systems. Fully remote position at Dessa, with a focus on impactful and transformative AI projects. Requires a Master's degree, 5+ years of deep learning experience, and proficiency in Python, PyTorch, JAX, TensorFlow, and CUDA.

Seeking a Sr Director for Global People Services & Analytics at Cloudflare, responsible for overseeing the entire employee lifecycle, transforming the employee experience, and leading Global Mobility and People Analytics initiatives. Must drive global strategic people services initiatives and partner with leadership to develop proactive solutions. Opportunity to innovate technology for a seamless employee experience and utilize Tableau for data analytics. Join Cloudflare's mission to build a better Internet in a remote US location.

Partner with a cross-functional team to deliver AI-powered products, build AI foundation models, engage in applied research, and translate complex work into business goals.

The Director of Customer Analytics at MetLife is responsible for advancing customer analytics to drive business growth by understanding and measuring Customer Equity. This role involves analyzing disparate data sources to provide actionable insights, implementing predictive analytics models, collaborating with cross-functional teams, and supporting business decisions around customer relationships and strategy.

Lead the Consumer Insights & Analytics team for the Crackers category at Mondelez, driving consumer-centric decision-making, identifying trends, and providing actionable insights. Hybrid work setting with one day in East Hanover, NJ office. Responsibilities include setting the Crackers Agenda, tracking consumer and market trends, providing thought leadership, integrating data sources, and executing primary research projects. Lead growth hacking initiatives, optimize execution efficiency, and foster leadership within the team. Skills include AI and GenAI.