Top Hybrid Senior Level Data & Analytics Jobs in San Francisco, CA
As a Principal Machine Learning Engineer, you'll drive technical advancements in Snap's Ads Marketplace, optimize ad spend and delivery, and design machine learning models to enhance system efficiency. Collaborate across teams on machine learning strategies and advocate for best practices in operational excellence.
The Principal Machine Learning Engineer will design and implement machine learning components and services, build a next-generation training framework, optimize model training with GPUs, develop an AutoML platform, and collaborate across teams to meet product requirements.
The Principal Machine Learning Engineer will lead the Ad Ranking team's technical roadmap, design and optimize machine learning models for ad monetization, collaborate with cross-functional teams on strategies, and advocate for best practices in scalability and operational excellence.
As a Staff Business Operations Analyst at BlackLine, you'll leverage data to support key business decisions, improve processes, and optimize reporting within the organization. You'll develop dashboards, analyze performance metrics, and work closely with stakeholders to drive operational excellence and enhance collaboration.
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.
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As a Senior Applied Research Scientist at ServiceNow, you will leverage your AI/ML expertise to build, train, and evaluate Large Language Models while collaborating with a team to create innovative solutions that enhance customer experiences across the platform.
The Staff Risk Analyst will enhance the Fair Lending analytics program by aggregating data, performing statistical reviews, collaborating with various teams, and communicating results. This role involves staying updated on Fair Lending regulations and integrating new guidance into SoFi's program.
As a Lead Data Engineer, you will drive the vision for data architecture, build and optimize data models and pipelines, ensure data quality, improve data infrastructure, create analytical dashboards, and mentor junior engineers while working closely with data scientists and business stakeholders.
The role involves collaborating with product managers, data scientists, and engineers to create data pipelines, design and deploy data warehouse solutions, and enhance data integrity and usability. Responsibilities include managing large datasets, developing pipelines using cloud technologies, and providing insights to support business decisions.
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 Staff Scientist Biostatistics will lead biostatistical activities, develop study protocols and statistical analysis plans, support clinical and real-world evidence study reporting, and contribute to regulatory submissions and publications. This role requires collaboration with cross-functional teams and staying updated on statistical methodologies and industry developments.
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.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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