Top Hybrid Senior Level Data & Analytics Jobs in San Francisco, CA
The Senior BI Engineer will design and implement scalable business intelligence platforms, create aggregate datasets, and support analytics frameworks to facilitate data-driven decisions for WBD's streaming and digital products. You will work with a global team to provide business-ready data solutions and ensure effective data usage across various teams.
In this role, you will develop an AI/ML strategy to enhance customer support at Canva, lead the creation of natural language systems, collaborate with engineering teams, and leverage machine learning capabilities across the organization.
The Sr Manager, Machine Learning Platform will lead the Model Engineering team at Disney, focusing on building a state-of-the-art ML runtime environment. Responsibilities include mentoring the team, providing technical direction, and partnering with stakeholders for scalable ML solutions while maintaining a culture of innovation and collaboration.
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As a Senior User Researcher, you will lead user research initiatives that inform product strategy and design. You'll collaborate with product managers and leadership to define priorities, plan and execute research using mixed methods, advocate for users, and enhance the company's UX maturity through insightful presentations and workshops.
The Senior Data Scientist will analyze autonomous vehicle performance using statistical and ML methods, develop metrics, establish correlations between data, and mentor software engineers and data scientists. This role requires strong communication skills to promote data-informed decision making across teams.
As a Software Engineer at Twelve Labs, you'll develop data infrastructure for multimodal datasets, ensuring high-quality filtering and labeling for video-language model training. You'll scale systems for large models, mentor junior engineers, build libraries/services, manage vendor relationships, and lead projects from ideation to execution.
As the first Data Engineer at Gantri, you will design and implement scalable data pipelines, develop data warehousing solutions, and mentor other team members. This role involves collaborating with various teams to integrate data into systems, ensuring data quality, and enabling advanced analytics capabilities.
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.
The Senior Data Scientist will leverage data science techniques to optimize the Kiddom platform, enhance personalized learning experiences, and contribute to AI research initiatives. This role requires collaboration with various stakeholders and a strong practical understanding of AI methodologies.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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