Top Hybrid Senior Level Data & Analytics Jobs in San Francisco, CA
As a Principal Data Engineer, you will design and develop BlackLine's data platform, collaborate with teams to create and optimize data models and visualization solutions, and drive innovation. You will oversee application architecture, provide technical leadership, and ensure that data-driven decisions align with organizational goals.
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.
The Director of Data Science will lead a team to enhance ad performance understanding, measure ROI, and analyze audience behavior. This role involves building machine learning models, managing analytics projects, and driving data-driven insights for senior executives to improve business outcomes.
The Director of Data Science at Snap Inc will lead a team of data scientists to drive revenue growth through advanced analytics. Responsibilities include building machine learning models, improving data governance, and delivering actionable insights to senior executives. The role focuses on solving complex business questions and enhancing customer engagement using data-driven strategies.
Featured Jobs
The Staff Analyst in ITSM Problem Management is responsible for incident resolution, trend analysis, service improvements, reporting, training IT staff, and focusing on customer impact. They analyze incident data to prevent issues, optimize processes, and drive continuous improvements in problem management.
The Principal Engineer in Decision Science will lead the domain of decision science, focusing on experimentation and causal methods while collaborating cross-functionally to enhance data-driven products and systems. Responsibilities include advocating best practices, mentoring teams, and presenting technical strategies to senior leaders.
As a Director of Credit Risk & Analytics at Upgrade, you will design and implement risk assessment strategies using financial data, oversee underwriting policy changes, ensure compliance with regulations, and collaborate with various departments to enhance customer experience and reduce onboarding times.
The Senior or Lead Big Data DevOps Engineer will manage and optimize Big Data infrastructure across cloud environments. Responsibilities include enhancing efficiency, driving cross-team initiatives, managing architecture efforts, ensuring system reliability, and supporting operational tools and practices.
The Staff Data Engineer at GRAIL will manage the data lifecycle from ingestion to analysis, ensuring data integrity and compliance in a regulated biotechnology environment. Responsibilities include developing ETL pipelines, collaborating with scientists and clinical teams, and maintaining data quality and documentation for research and regulatory purposes.
As a Senior Analyst in Marketing Science & Analytics, you will enhance decision-making by improving marketing measurement systems and monitoring acquisition health. You'll collaborate with various teams to develop and maintain key performance indicators, analyze marketing experiments, and enhance data visualization dashboards while addressing stakeholders' analytics needs.
As a Distinguished Engineer, you will lead the AI/ML team in creating and evaluating machine learning models and pipelines. You'll influence data collection designs and guide the development of evaluation frameworks while ensuring the seamless integration of ML models into services. Your strategic leadership will drive transformative ML projects for network assurance.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
