Top Data & Analytics Jobs in New York City, NY

As a Staff Data Scientist at Kyruus Health, you will leverage advanced data science techniques to produce insights that help healthcare customers make crucial decisions. Your role includes identifying business opportunities, deploying machine learning models, collaborating with engineers, and promoting best practices within the data science team.

The Consumer Analyst at Mondelēz International will be responsible for analyzing consumer contact trends and providing reporting insights to key stakeholders. This includes managing consumer contact data, ensuring accuracy in reporting, forecasting contact volumes, and participating in global meetings for strategic improvements. The analyst will also handle product recalls and ensure training effectiveness for agents at the Contact Center.

The Data Engineer II role at Bestow involves building scalable data solutions, improving data quality and availability, creating data models and pipelines for analytics and machine learning, and collaborating with various teams to ensure efficient data management.

As a SOC Analyst, you will monitor security events, perform threat analysis, and respond to incidents. Responsibilities include developing response procedures, providing guidance to the security team, and staying updated on security threats. You will work independently with customers and troubleshoot basic issues.

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.

The Alchemy Analyst will contribute to blockchain initiatives through research, product, and marketing tasks. Responsibilities include content distribution, user research, and educating developers on web3 topics.

As a Senior Data Scientist at Monte Carlo, you will lead the development of production-grade ML algorithms, manage ML projects from concept to deployment, and solve complex problems related to anomaly detection and prediction in a fast-paced startup environment.