Top Senior Data & Analytics Jobs in San Francisco Bay Area, CA
As a Senior Data Analytics Engineer, you will support cross-functional teams by conducting end-to-end analyses, designing and building dashboards, maintaining data transformations, and ensuring data quality. You'll create reusable artifacts for data analytics and facilitate communication between technical and non-technical stakeholders.
You will design and build a machine learning platform that enhances user experience on Discord, evaluate and integrate new ML frameworks, collaborate with model builders, and set best practices in machine learning. This role involves working with large datasets and production-level machine learning systems.
The Applied AI Research Manager will lead and manage the team focused on developing AI technologies for the Descript product, ensuring project completion, mentoring researchers, and integrating AI into products. The role involves staying updated on AI advancements and representing the company at events.
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The Manager, Data Engineering will lead a team responsible for maintaining and building data infrastructure that supports product features and analytics. Responsibilities include architecting solutions, mentoring the team, building reports, and managing data resources, ensuring the system is scalable and reliable.
Lead and develop the engineering vision for data flows and processing at Smule, overseeing audio and video engineering groups. Manage a team of 10+ engineers, define strategies for technology evolution, and maintain data technical infrastructure.
The Lead Data Engineer will design and expand Nuna's Data Platform, establish best practices, mentor team members, and collaborate with data scientists to optimize workflows. This role entails hands-on development, managing complex data sources, and ensuring data governance while contributing to innovative projects in healthcare.
The Lead Data Engineer will develop and optimize data infrastructure, build scalable ETL pipelines, manage data warehouses and lakehouses, ensure data quality, and collaborate with data science teams to support ML model deployment.
Looking for a Data Engineer with 5+ years of experience in a SaaS environment. Must be proficient in SQL, dbt, Python, and have experience with data engineering tools and cloud services. Responsibilities include owning data workflows, ensuring data quality, and leading data modeling efforts.
The Senior Analytics Engineer at Druva will develop data models, reports, and dashboards to promote data-driven decision-making. Responsibilities include managing data requests, maintaining analytics databases, and using SQL and Python for data solutions, all while collaborating across teams for strategic initiatives.
The Senior Quantitative Scientist will address complex real-world data problems in healthcare, focusing on urology, ophthalmology, and neurology. Responsibilities include collaborating with life science companies, utilizing observational data, and leading projects that strive for improved patient care through data-driven insights.
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