Top Data & Analytics Jobs in San Francisco Bay Area
Staff Data Scientist role at Cash App focusing on programmatic ads business, optimizing marketing efforts, analyzing large datasets, and driving strategic decisions using data insights.
The Risk & Controls Compliance Analyst at Cash App will work with the Product Risk and Controls team to create compliance strategies for the global growth of Block products and services. Responsibilities include scoping, designing, and implementing risk and control programs, partnering with various teams to enhance control solutions, and ensuring compliance with policies and regulations.
The Senior Data Scientist at Cash App will work within the Financial Platform organization, analyzing large datasets to derive insights that improve customer experience and drive strategic decisions. Responsibilities include data analysis, statistical modeling, A/B testing, and visualization. The role requires expertise in SQL, Python, R, and data visualization tools, with a focus on anomaly detection and regulatory data science.
Senior Data Scientist role at Samsara focused on Data Visualization. Responsibilities include creating dashboards, setting visualization standards, and collaborating with product and engineering teams to translate business questions into quantitative artifacts.
Senior Data Scientist role at Snap Inc, responsible for delivering impactful data insights, driving informed decision-making, and collaborating with cross-functional teams to optimize products. Requires expertise in data modeling, statistics, and machine learning.
Senior Data Scientist role at Snap Inc, focusing on quantitative analysis, data mining, statistical modeling, and delivering impactful data insights for informed business decisions. Collaborate with cross-functional teams to drive product improvements and optimizations. Utilize expertise in machine learning and statistical analyses to provide actionable insights and accurate predictions.
Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Build a next-generation training framework and develop an AutoML platform to automate the machine learning model lifecycle. Provide technical direction and collaborate with teams to deliver innovative products.
Featured Jobs
Associate Director, Payor Data Lead responsible for establishing and evolving payor customer data and analytics, implementing data solutions for payer digital engagement, collaborating with internal and external teams, managing data and analytics workstream, and providing strategic direction for payor digital data strategy.
Seeking a Principal Data Engineer to lead the delivery of innovative platform capabilities and solutions, driving the business to $1B+ ARR. Responsible for developing and executing multi-year data strategy, architecture, and development. Design and scale enterprise-level data management and analytics platforms. Collaborate across the business to deliver market-leading solutions powered by data.
As a Senior Data Engineer, you will develop high-quality, scalable data products for applied analytics solutions, focusing on Customer Experience data science modeling and reporting. You will collaborate with cross-functional teams and drive the adoption of cloud-first technologies and data engineering practices.
Seeking a highly skilled and motivated Big Data Engineer to join the data engineering organization at Basis Technologies. Responsibilities include integrating data sources, automating ETL deployment tasks, designing scalable data pipelines, and monitoring pipeline performance.
Join Digible, Inc. as a Paid Media Analyst responsible for managing and executing paid media campaigns across various platforms. Assist with account audits, campaign management, and optimization tasks to ensure client success. Ideal for team players with analytical skills and a passion for digital marketing.
The Senior Product Analyst, SAP Master Data Governance will play a significant role in the implementation of SAP Master Data Governance platform focused on vendors, customers, G/l accounts, cost centers, company codes, etc. Responsibilities include configuration, supporting the implementation of SAP MDG, providing guidance on best practices, working with business partners, designing functional solutions, and leading end-to-end implementations.
Lead SAP Data Migration Engineer role at NBCUniversal, overseeing seamless transition to SAP S/4 transformation by ensuring efficient data migration. Responsibilities include gathering requirements, designing and building SAP MDG and Data Services solutions, reviewing support documentation, ensuring master data consistency, liaising with product teams, and collaborating with offshore teams. Requires 8+ years of experience in SAP MDG and Business Objects Data Services, 2+ years in SQL, and a Bachelor's degree in a related discipline.
Lead the development of data sets, pipelines, and infrastructure for data analysis and modeling. Design and oversee data architecture solutions to capture, manage, and utilize structured and unstructured data from multiple sources.
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