Top Remote Senior Level Data & Analytics Jobs in San Francisco Bay Area, CA
The Sr. Business Systems Analyst will collaborate with Procure-to-Pay stakeholders to document business requirements, design finance application roadmaps, and implement process improvements. Responsibilities include delivering finance systems strategy, managing applications, optimizing operational KPIs, and providing training on finance tools.
The Data Protection and eDiscovery Infrastructure Manager will lead eDiscovery efforts, manage Windows servers, and ensure compliance with data protection regulations, while developing policies and strategies to reduce data exposure risks. Role involves oversight of eDiscovery processes, data handling, and training on best practices.
The Marketing Data Engineer will build and maintain data pipelines, architect scalable data solutions, and collaborate with various teams to support analytics and business strategy using data integration and processing techniques.
The Senior Risk Data Analyst will create and maintain dashboards and reports using SQL, Python, and Tableau, collaborating with Risk, Compliance, and Legal teams to extract and communicate data effectively. The role requires analyzing risk metrics and providing actionable insights, along with fostering interdisciplinary teamwork and communication with stakeholders.
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.
Lead and mentor a team of Data Scientists and UX Researchers, prioritizing high-impact research opportunities that drive business value, while overseeing daily operations and fostering a collaborative team culture. Develop research strategies that integrate quantitative and qualitative data to deliver impactful insights, and partner with various departments to align on product and design development.
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The Senior Quantitative Researcher will design, implement, and analyze a variety of quantitative studies to inform product strategy for the Online Grocery team. Responsibilities include utilizing statistical techniques on large datasets, collaborating with various teams, synthesizing findings into insights, and ensuring data integrity.
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.
The Director of Analytics at Mixbook is responsible for identifying and delivering data science models, insights, and data needed to assess current business performance and drive growth. This role leads the Analytics team and serves as the company authority on consumer analytics backed by statistical models and data science investments.
The Senior Data Engineer at Babylist will focus on enhancing data platforms, particularly in building ML pipelines. Responsibilities include developing robust systems, collaborating across teams, and driving data-driven decision-making to support product innovation.
As a Principal Data Scientist, you will collaborate with cross-functional teams to apply quantitative analysis and experimentation, develop business strategies, and shape product development using data insights. You will also communicate findings to leadership and measure product success.
As a Senior Data Engineer, you will build and maintain data infrastructure to support Square's growth. You will design and implement data pipelines, work with various teams to integrate new data sources, and ensure accuracy in reporting. Your role will involve participating in on-call duties and improving data quality and efficiency.
The Lead Data Scientist at Hims & Hers will apply data science and machine learning to enhance marketing, products, and operations. This role involves technical leadership, project execution in marketing optimization and customer insights, and collaboration with engineers and business teams to develop ML products. Mentoring the data science team and driving business impact through innovative solutions is also emphasized.
Top Remote Companies in San Francisco Bay Area, CA Hiring Data + Analytics Roles
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