Top Hybrid Data & Analytics Jobs in New York City, NY

Responsible for designing and deploying AI/ML solutions, developing models, collaborating with stakeholders, and mentoring junior members. Requires Ph.D. in a related field and experience with production deployment, MLOps, and generative AI.

Join the GIBD as an AI/ML Lead, leveraging AI to innovate investment banking approaches, focusing on LLMs, statistical models, and complex datasets.

Lead strategic initiatives for AI/ML solutions, managing projects from discovery to design while collaborating across teams and ensuring alignment.

As a Decision Analytics Associate Consultant, you will design and implement analytical solutions for supply chain challenges, develop statistical models, optimize inventory, and mentor junior team members.

As a Strategy Insights & Planning Consultant, you will define project scope, lead project execution, analyze issues, and synthesize findings to provide recommendations to clients, while mentoring junior team members.

As a Senior Yield Analyst, you will design dashboards, conduct data analysis using Databricks, and collaborate with teams to drive data-informed strategies.

The Senior Analyst, Casino Analytics will analyze business performance, develop dashboards, conduct A/B testing, and mentor team members to drive insights and improve business outcomes.

The Senior Analyst in Brand Marketing analyzes brand health, optimizes marketing spend, refines messaging, and enhances creative performance using data-driven approaches.

Manage the Data Science team for Customer Management at Capital One, building machine learning models to enhance customer experience and collaborating with cross-functional teams.

As a Manager, Data Scientist, you will lead a team to build machine learning models and derive insights from large datasets, partnering cross-functionally to enhance credit card customer management.

Oversee model validation for economic and risk management models, enhance analytical capabilities, and communicate findings to stakeholders while driving technical improvements.

As a Senior Data Scientist, lead advanced predictive model development, manage project timelines, collaborate across teams, and align data initiatives with business strategies.

Oversee a team to develop credit risk models, optimize risk strategies, mentor junior members, and contribute to industry research.