Top Hybrid Senior Level Data & Analytics Jobs in San Francisco Bay Area
Looking for an experienced Regulatory Examination Analyst to provide support to the Regulatory Team at a federally regulated financial institution. Responsibilities include managing examination requests, coordinating responses with various teams, and ensuring compliance with regulatory requirements.
Lead Data Engineer responsible for designing and elevating metrics for consumer-facing search, recommendations, promotions, and messaging experiences at Disney Entertainment & ESPN Technology. Work with engineering teams to ensure data availability, build workflows, analyze complex datasets, and drive success for streaming applications like Disney+, Hulu, ESPN+, and Star+.
The Staff Risk Analyst, Loss Forecasting role at SoFi involves assisting in the development of loss forecasting models using Python and machine learning, analyzing data to provide insights on drivers for losses, and collaborating with various teams for performance analysis. The role focuses on credit loss forecasting and contributing to successful business outcomes through recommendations based on data analysis.
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In this role, you will play a pivotal role in boosting the company's growth by analyzing website performance, enhancing user sign-up conversion, and improving SEO efforts. You will collaborate with various teams to establish and define website metrics and targets, analyze optimization experiments, and create monitoring dashboards for key pages.
The Staff Statistical Analyst contributes to the analysis of clinical study data through their statistical programming expertise. Responsibilities include providing statistical programming support, maintaining documentation, developing reusable code, and staying updated on industry developments.
Research and build high-impact end-to-end machine learning systems for customer growth, drive the design of scalable ML solutions in production, mentor engineers and data scientists, contribute back to research community
Build AI and Machine Learning solutions to transform user experience and workflow efficiency of enterprise services. Collaborate with a team to produce quality software and work on data acquisition and evaluation metrics for performance and quality at scale. Drive innovation in AI technologies for future work experiences.
Snap Inc is seeking a Staff Machine Learning Engineer with 8+ years of experience to create models driving value for users and the company, evaluate technical tradeoffs, perform code reviews, build scalable products, and iterate quickly with high quality. Strong understanding of machine learning approaches, ability to work independently, collaboration skills, and problem-solving capabilities are required. Knowledge of machine learning frameworks and system design experience are preferred qualifications. Bachelor's degree in a technical field is a minimum requirement.
As a Senior or Lead Big Data DevOps Engineer, responsible for setting up, scaling, and maintaining Big Data infrastructure and tools in private and public cloud environments. Drive efficiency improvements, lead architecture and design efforts, ensure availability and reliability of infrastructure, and build operational tools. Evaluate, design, and deploy monitoring tools and practices. On-call support of production systems.
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Develop, test, launch, and scale member banking experience products through data analysis and experimentation. Provide product insights and recommendations to increase adoption, engagement, and retention. Collaborate with various teams to foster a data-driven culture and advise product roadmaps.
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