Top Data & Analytics Jobs in NYC, NY
The Senior Director, Technology & Data will lead the technology vision and strategy at Casdin Capital, managing IT infrastructure and teams, driving technology solutions aligned with business objectives, and overseeing data management and optimization to enhance operational excellence in the firm.
The Lead Analytics Engineer at Dashlane will design and implement reliable data models, collaborate with business and technical teams, maintain data quality, and provide training on data visualization tools. The role involves creating scalable database designs and optimizing data workflows within a hybrid work environment.
As a Senior Data Scientist in Computational Biology at Valo Health, you will integrate diverse omics data, perform high-level data analyses, and create robust computational models to support drug discovery. Collaborating with interdisciplinary teams, you will ensure data quality, contribute to target identification, and communicate complex findings effectively.
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The Risk Operations Analyst will enhance Rho's risk management framework by maintaining policies, leading audits, coordinating due diligence, and fostering a culture of compliance. This requires collaboration with internal teams to integrate risk considerations in operations, providing insights for decision-making, and escalating risks to senior leadership.
As a Project Analyst in Client Services, you'll focus on optimizing payment operations and enhancing customer experience through data analysis and project management. Your role involves implementing automations, managing project specifications, and collaborating with cross-functional teams to drive operational excellence.
The Weather Analyst will conduct applied research in weather prediction while working closely with the commodities trading desk. Responsibilities include analyzing gridded, observational, and satellite data, applying machine learning techniques, and exploring new areas of atmospheric predictability.
Lead design and development of scalable data architectures for batch and streaming processing. Optimize ETL/ELT processes and manage database performance. Collaborate with teams to ensure data solutions meet business needs and support decision-making. Drive continuous improvement in data engineering workflows and implement MLOps for machine learning models.
The Senior Business Intelligence Analyst at Octave will collaborate with cross-functional teams to identify business problems, create and maintain operational dashboards in Tableau, and develop data-driven solutions. This role will train stakeholders on dashboards and perform complex data analysis to drive insights and growth.
The Senior Machine Learning Engineer will lead data projects to launch new machine learning products and enhance predictive features in Iterable's platform. Responsibilities include collaborating with cross-functional teams, developing machine learning pipelines, and evaluating algorithm performance using diverse datasets.
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