Top Data & Analytics Jobs in New York City, NY
As a Senior Data Scientist at Demandbase, you will develop and apply machine learning models to enhance B2B marketing efforts. Your role includes working on account ranking, intent prediction, and optimizing campaign performance through various ML algorithms, while collaborating across teams to implement these models effectively.
As a Senior Manager in Data and Analytics, you will lead client projects by designing, developing, and implementing processes and tools to enhance data usage. Responsibilities include managing project scope and budgets, collaborating with stakeholders, translating analytics into insights, and overseeing project execution.
The Principal Data Engineer will lead the design and implementation of modern data processing platforms, develop scalable data solutions, and collaborate across teams to optimize data pipelines. They will mentor the data engineering team and create tools that drive innovation and operational excellence, focusing on the healthcare sector.
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The Decision Science Analyst IV will leverage data-driven methods to make recommendations, develop BI solutions, and enhance analytics for business transformation. Responsibilities include data enrichment, project collaboration, coding, and communicating insights to non-technical audiences. This senior role requires strong problem-solving and influence within teams to drive results across the organization.
The Senior Analyst, Sales Strategy & Compensation will lead the development and implementation of U.S. sales incentive plans, manage the sales planning process, prepare commission statements, provide management decision support, develop presentations for management, and collaborate cross-functionally on ad hoc projects.
As a Data Architect, you will design solutions that align with business processes, ensuring compliance with regulatory guidelines. You will collaborate with stakeholders, lead architecture review meetings, and evaluate technology solutions. A deep understanding of AWS, Snowflake, and dbt is required, alongside effective communication and design skills.
The Senior Analyst, Third Party Risk will manage security assessments and contract reviews, improve processes, collaborate with teams, and enhance compliance certifications. They will ensure the company's security posture meets customer requirements and industry standards while maintaining effective communication across departments.
Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.
The Data Scientist will work on custom software and machine learning solutions while contributing to alignment research. Responsibilities include managing data science projects, utilizing Python, and collaborating with various stakeholders. Candidates should have problem-solving skills, experience with machine learning APIs, and a comfort with statistical methods. Self-management and autonomous work will be key for success.
As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.
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