Top Hybrid Data & Analytics Jobs in San Francisco, CA
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Senior Data Scientist role at Square focused on leveraging data science techniques to improve incremental revenue generation. Responsibilities include understanding data ecosystem, supporting revenue forecasting models, partnering with ML engineers, driving insights with analytics, and mentoring team members.
The Senior Credit Risk Analyst will leverage advanced data analytics to optimize credit strategies, develop evaluation frameworks for the credit ecosystem, assist in product pricing strategy, run A/B tests, and collaborate with various teams to enhance credit portfolio performance.
The Senior Data Analyst will drive data-informed decision-making across the Developers and App Marketplace Analytics team. Responsibilities include designing databases, building dashboards, writing complex SQL queries for data analysis, setting data quality management practices, and collaborating with various teams on project assessments and insights.
The Data Scientist PhD Intern will collaborate with data scientists and engineers to develop advanced analytics and machine learning solutions. Responsibilities include conducting research on complex data challenges, impacting products, presenting findings to stakeholders, and working on data-driven product innovations.
As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage analytical techniques to extract insights from data, build AI/GenAI solutions, and collaborate with clients to understand and address their business challenges. Responsibilities include model development, data processing, and managing client engagements to deliver high-quality results.
The role involves managing client service accounts, supervising teams, and leveraging technology and data analysis to improve decision-making in deals. Key responsibilities include coaching team members, maintaining quality deliverables, and building tech-driven solutions for client engagements.
As a Senior Associate in Tech & Data Solutions, you will leverage advanced analytics and data visualization techniques to drive insights for clients. Your responsibilities include building tech-enabled solutions, mentoring junior members, analyzing complex problems, and maintaining professional standards while managing stakeholder expectations.
Featured Jobs
The Applied Researcher I at Capital One will collaborate with cross-functional teams to develop AI-powered products. Responsibilities include utilizing a variety of technologies to analyze large data sets, building AI models through their entire lifecycle, and conducting impactful applied research to enhance customer experiences.
As an Applied Researcher II at Capital One, you will collaborate with cross-functional teams to deliver AI-powered products, utilizing technologies like Pytorch and AWS. Your role includes building AI foundation models and engaging in applied research to enhance customer experiences with innovative AI solutions.
Lead end-to-end development life cycle of innovative ML-based enterprise products, architect and implement AI-enabled data products, research and assess state-of-the-art AI algorithms, engage with senior client leaders, publish thought leadership pieces, foster ZS talent, shape firm strategy in newer areas and practices including AI.
The Principal Engineer will lead efforts in machine learning and AI, collaborating with teams to build impactful products, setting technical standards, and mentoring others. Responsibilities include hands-on development, technical leadership, and influencing hiring and coding practices.
As a Principal Applied Scientist, you will lead the delivery of AI products, collaborate with ML engineers, improve data quality and usability, and engage in public-facing content to enhance Xero's profile. The role requires a focus on creating impactful, customer-facing ML and AI solutions while emphasizing high-quality code from the outset.
The Senior Data Scientist at Cash App will analyze large datasets using SQL and programming languages to provide actionable insights. Responsibilities include working on product analytics, designing A/B tests, collaborating with engineers on data logging, forecasting metrics for business strategies, and creating data visualizations and dashboards for stakeholders.
The Senior Statistical Research Analyst will analyze and interpret complex data sets, providing insights for the financial services industry. Responsibilities include statistical analysis, translating findings into business recommendations, leading projects, and communicating results to various stakeholders. The role requires a strong analytical mindset and experience in both traditional and short-term lending credit data.
The Senior Workday Configuration Analyst will configure and maintain Workday modules, provide process improvement recommendations, oversee implementation projects, support system upgrades, troubleshoot issues, and create reports. They will ensure that configurations align with business objectives and facilitate user training.
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