Top Hybrid Senior Level Data & Analytics Jobs in San Francisco, CA
As a Senior Risk Analyst, you will manage the collections issue management process, develop cross-company relationships, and support executive communication related to issue resolution and emerging risks. You'll establish frameworks and collaborate with leadership to enhance processes in a complex environment.
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.
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.
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As a Group Analyst at Snap Inc., you will analyze data to assist leadership in making informed decisions, optimize advertising campaigns, and provide actionable insights. You will collaborate with Sales and Product teams to enhance campaign performance and identify industry trends while creating reports and dashboards.
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.
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.
The Applied AI ML Director will lead the development and implementation of machine learning components, collaborate with teams, and enhance workflows using advanced ML techniques. They will leverage knowledge in ML algorithms and frameworks to drive innovative projects.
The Senior Data Scientist in Creator Services at Roblox will leverage data analytics to improve product development, forecast costs, conduct A/B tests, and build predictive models to enhance user experiences. This role involves collaboration with product and engineering teams to shape the platform's future through data-driven insights.
In this role, the Senior Machine Learning Quality Engineer will focus on test automation, primarily using Java and Python. Responsibilities include testing large-scale production systems, evaluating AI/ML model quality, and creating test cases from project requirements while requiring strong analytical and problem-solving skills.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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