Top Data & Analytics Jobs
Lead and manage a team of data engineers to maintain and grow Valo Health's data engineering platform. Collaborate with multi-functional teams to support drug discovery efforts by driving the evolution of the data platform, ensuring scalability, and promoting best practices in data management and governance.
As a Data Engineer, you will create data/cloud solutions, work with cloud data warehouses, and support data processing using pipeline tools. You'll collaborate with clients, participate in business development, and mentor team members to enhance their expertise, driving business impact through effective data solutions.
As a Data Scientist at Oscar, you will create and maintain data pipelines, enhance modeling efforts, and develop analytics to improve healthcare processes. Collaborating with business teams, you'll support data integrity and help improve risk adjustment strategies.
Featured Jobs
As a Senior Principal Scientist at Alcon, you will lead the development of new contact lens materials and processes, engage in ideation projects, and leverage your expertise in polymer chemistry to conduct formulation experiments. You will also manage project teams and monitor scientific literature to stay updated on relevant advancements in the field.
As a Senior Data Engineer at Apollo.io, you will develop and maintain scalable data pipelines, implement monitoring and data quality processes, and work on data model definitions while collaborating with various business units and engineering teams.
The Data Analyst will work with Product and Engineering teams to design and deliver automated reporting, revenue dashboards, and insights from ad code testing. Responsibilities include analyzing A/B tests, collaborating with various partners, and influencing stakeholders to drive revenue opportunities for a network of creators.
The Principal Cloud Database Engineer designs, implements, and manages cloud-based database solutions, ensuring high performance, data integrity, and security. Responsibilities include database administration, performance tuning, automation, and collaboration with development and infrastructure teams. This role also involves capacity planning, monitoring, and compliance with data protection regulations while leading technical initiatives and supporting operational excellence.
As a Principal Data Scientist, you will develop machine learning models for hotel demand and pricing prediction, optimize revenue through pricing strategies, and lead technical projects. Collaboration with product and engineering teams is key to integrating solutions and presenting findings to management.
The Research Scientist will lead research and develop optimization algorithms for energy market participation, asset management, and risk management. Responsibilities include utilizing research insights to guide product direction, collaborating with various teams, and driving innovation within the company.
As a Staff Data Scientist at Enigma, you will leverage machine learning and statistical methods to enhance data accuracy and usability. You will work within cross-functional teams, develop innovative solutions, validate results against real-world data, and contribute to critical product developments that impact small businesses' access to financial services.
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