Top Data Science Jobs in New York City, NY
The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.
Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.
The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
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The Computational Scientist will develop computational methods for catalysis material design and optimization, leading workflows and collaborating with teams to enhance existing procedures. Responsibilities include preparing reports, supporting business functions, engaging in client research, mentoring junior staff, and collaborating with software engineers.
The Senior IMS Mainframe DBA will create, maintain, design, and troubleshoot client databases, focusing on IMS environments. Responsibilities include database software upgrades, daily maintenance, backups, monitoring, performance optimization, and on-call support. They will collaborate with vendors and develop best practices for database management, ensuring security and efficiency.
As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.
The Revenue Operations Analyst will manage day-to-day CRM operations and support the sales and customer success teams. Responsibilities include ensuring smooth sales-to-customer success handoffs, maintaining data accuracy, managing operational support tickets, contributing to sales projects, collaborating on customer success initiatives, and optimizing processes through documentation and team training.
As a Senior Data Scientist at StackAdapt, you'll focus on building predictive models to enhance business operations, identify high-potential customers, and implement time series forecasting. The role requires collaboration with internal teams and coding production-ready algorithms. You need a strong data science background and a willingness to turn ambiguous tasks into actionable steps.
As a Data Scientist at Fors Marsh, you will support research efforts by collaborating on analysis plans, managing datasets, preparing reports, and ensuring quality control of quantitative research. Your role will also involve contributing to business development and participating in project meetings.
The Senior Scientist will lead collaborations with biomedical partners to develop and implement pharmacometric strategies. Responsibilities include creating population PK/PD models, performing Monte-Carlo simulations, and producing technical reports, contributing to the advancement of drug development through data-driven decision making.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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