Top Hybrid Data & Analytics Jobs in San Diego, CA
Responsible for defining and driving data governance within the Finance organization. Partnering with leaders and process owners to implement data policies and standards, ensuring data quality and consistency across financial applications.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical techniques on large datasets, evaluate emerging technologies, contribute to thought leadership, and have expertise in programming, data engineering, and machine learning. You will also need strong communication, critical thinking, and problem-solving skills.
Join GRAIL as a Staff Data Engineer to support the data needs of clinical and research activities. Automate and enhance data infrastructure to contribute to early cancer detection efforts. Work collaboratively to design, deploy, and automate secure and efficient data infrastructure and tools.
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As a Senior Strategic Analyst at Acrisure Innovation, you will work with a cross-functional team to develop analytics and tech stack for financial services growth. You will drive transformational change, provide data-driven insights, and shape processes to optimize performance and scale rapidly.
Responsible for leveraging data science background to drive compliance monitoring data analytics initiatives.
The Enterprise Data Engineer will provide technical leadership in architecting and delivering end-to-end solutions. They will work with business partners, collaborate with other teams, and develop architecture and design patterns for processing and storing high volume data sets. The ideal candidate should have at least four years of relevant experience, knowledge of data warehouse architectures, and experience with cloud environments, SQL, and real-time streaming data pipelines.
Principal Data Engineer role at Tendo, responsible for data engineering solutions in the healthcare industry. Collaborate with Data Scientists and Product Managers to develop data flows, tools, and solutions for machine learning insights. Strong background in software engineering, data modeling, ETL pipelines, and database design required.
Looking for a motivated data scientist to improve industry-leading algorithms in risk adjustment and evolve product offerings in healthcare. Opportunity to develop novel models that solve a wide range of healthcare problems and impact millions of patients.
The Data Scientist will be responsible for establishing a data-driven product development culture, defining core metrics, building technical foundations for data tracking and analysis, and providing product insights to various teams. They must be proficient in SQL, Python/Pandas, analytical, a great communicator, and able to break down complex data into simple analyses.
The Senior Data Analyst at Jam City will be responsible for providing both reactive and original insight at a project and studio level. They will apply industry knowledge to analyze data, create reports, lead complex analytics projects, and work cross-functionally with other teams.
Top hybrid Companies in San Diego, CA Hiring Data + Analytics Roles
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