Top Data & Analytics Jobs in San Francisco, CA
Seeking an experienced Senior Staff Data Scientist to lead machine learning efforts, develop and deploy ML models, improve product experiences, and extract insights from data. Must have 8+ years of Data Science and machine learning experience, strong programming skills, proficiency in Python and SQL, and experience with cloud-based platforms like AWS Sagemaker.
Seeking a Principal Data Scientist with strong engineering skills to drive ML and AI capabilities across multiple teams. Responsibilities include hands-on development work, tech leadership, mentoring, and driving technical standards. Requires 8+ years of impactful experience in ML and AI implementation, deep hands-on experience with data products and infrastructure, and expertise in major technologies like Airflow, DBT, AWS, etc.
As a Program Banker Analyst in the U.S. Private Bank, you will devise customized financial strategies for clients, prepare pitch books, analyze balance sheets, and work with various financial products. This role also involves research, client communication, and interaction with senior management and clients.
Manager, Cyber eDiscovery Senior Analyst position at Capital One, responsible for utilizing eDiscovery software to collect and process electronically stored information, provide technical support, maintain program documentation, and coordinate data transfers. The role involves administering the eDiscovery application, troubleshooting issues, reporting metrics, and collaborating with internal and external parties on investigations and legal requests.
Partner with a cross-functional team to deliver AI-powered products, leverage technologies to analyze large volumes of data, build AI models, and engage in applied research.
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As a Data Scientist, you'll impact the lives of everyday people by developing and deploying predictive models, conducting strategic analytics, and serving as a thought partner for company leaders. Responsibilities include deep-dive analytics, running analytics models, and establishing relationships with stakeholders. Required qualifications include 1-2+ years of experience, strong analytic and coding skills in SQL and Python, and a Master's degree in a quantitative field.
As a Marketing Data Scientist at Cash App, you will be responsible for optimizing marketing efforts, analyzing campaigns, and influencing the marketing roadmap with data-driven insights. You will work closely with the Marketing organization to drive business impact through data analysis and modeling techniques.
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Lead the measurement and evaluation of marketing activities to drive a greater understanding of the company's ability to impact brand health and continuously improve the efficiency of marketing investments. Responsible for fostering a data-driven culture, building predictive models, and partnering with marketing leadership on strategy development.
As a Senior Associate in CLM Technical Analysis, you will work within Data and Analytics services to help organisations uncover insights and drive business results using smarter data analytics. Responsibilities include leveraging technology capabilities, developing content management solutions, and transforming data into actionable insights. The role requires critical thinking, problem-solving, and the ability to work as part of a team to address complex business issues.
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
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Seeking a Senior Data Engineering Manager to lead the Data Engineering team supporting Customer Support and Services at Atlassian. Responsibilities include team leadership, technical guidance, collaboration with stakeholders, and driving innovation in data products.
Seeking a Senior Machine Learning Engineer to lead the development of a recommendation system driving content discovery for millions of users. Responsibilities include designing ML solutions, developing machine learning models, conducting experiments, and collaborating with cross-functional teams.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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