Top Data & Analytics Jobs in San Francisco, CA
As a Senior Data Engineer at SPAN, you will design and build analytics infrastructure, write ETL processes, and enforce data governance and security best practices. You'll collaborate with multiple teams to optimize data pipelines and improve data discovery, while also developing tools for automation and monitoring, all aimed at enhancing the value of the data ecosystem.
As a Principal Machine Learning Engineer, you will lead R&D initiatives in autonomous vehicle technology, define team strategy, drive business impact through tech solutions, prototype and implement models, mentor engineers, and promote a culture of inclusion and innovation.
As a Senior Machine Learning Engineer at Reddit, you will work on personalizing notifications for users by applying machine learning to vast amounts of data. You'll build, deploy and mentor, collaborating across teams and managing complete software cycles to improve user experiences.
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As a Manager, you will identify analytical solutions for clients in the biopharmaceutical industry by developing project plans for forecasting, market research, data analysis, and financial modeling. You will manage cross-functional teams to deliver impactful insights and presentations that support core strategy initiatives.
As the Senior Manager of Product Data at Slickdeals, you will lead a team of analysts and data scientists, define product health metrics, support product strategy with quantitative insights, and collaborate with Data Engineering to optimize data pipelines and access. Your role will empower decision-making through effective data visualizations and strategic analysis.
The Staff Compensation Analyst at Strava will manage the global compensation strategy, analyze pay equity, maintain salary ranges, and ensure alignment with competitive market data. They will collaborate across teams to provide insights for workforce planning, conduct compensation cycles, and prepare reports for leadership, all while promoting equitable pay practices.
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 a software engineer focused on machine learning, you will work on deep learning research, contribute to data pipelines, develop infrastructure for experimentation, and collaborate with engineers to enhance model performance. Your work aims to improve machine intelligence through code generation and rigorous experiments.
The Data Scientist II role at Tinder involves driving data-informed decision-making by conducting rigorous testing, developing experiments, and generating insights from extensive user behavior data. This position requires strong data analysis skills, creativity in problem-solving, and the ability to communicate findings effectively to influence business performance.
The Sr Analyst, Product & Credit Strategy at Fundbox will collaborate across teams to drive product launches, conduct credit analysis, and utilize data analytics for decision-making. The role influences product development and strategic recommendations linked to customer credit management, requiring strong quantitative skills and communication.
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