Top Data & Analytics Jobs in San Francisco, CA
The Fraud Investigations Analyst will conduct investigations on fraud claims by analyzing internal data and performing open-source research. Responsibilities include assessing risk, interviewing consumers, and collaborating with the Fraud Investigations Manager to support departmental goals.
Lead the Model Engineering team to develop state-of-the-art ML runtime environments, ensuring high availability and low latency for ML model deployment. Collaborate with product stakeholders to create innovative scalable platform solutions while mentoring team members and fostering a culture of inclusion and collaboration.
The Lead, Employee Listening & Advanced Analytics at Klaviyo will co-design and manage employee listening and survey strategies, conduct advanced analytics on employee data, leverage innovative listening channels, and provide insights to drive talent experience and outcomes. The role requires collaboration with senior leaders and management of survey operations while ensuring data privacy and security.
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The Senior Analyst will lead fraud risk management efforts by analyzing fraud patterns across payment channels, developing automated detection strategies, and managing fraud rules. The role involves collaborating with cross-functional teams and requires strong analytical and organizational skills to prioritize multiple projects.
The Compliance Analyst will assess global compliance risks and controls, identify gaps, document testing results, and prepare reports. They will support the development of testing methodologies and monitor compliance against regulations. The role includes training development and answering external inquiries.
Notion is seeking a Data Scientist for their product data science team. The role involves transforming data into evidence to direct product decisions, working closely with engineering teams, and impacting the development of Notion through various data-related tasks. Key responsibilities include applying statistical inference, defining problems and opportunities, designing experiments, and partnering with product, engineering, and marketing teams.
As a Senior Data Engineer at EliseAI, you will design, implement, and maintain data infrastructure and ETL pipelines. You will optimize data flow for cross-functional teams, create data models, ensure data quality, and develop reporting solutions that aid decision-making and product development.
The Compensation Analyst supports global compensation programs by gathering, analyzing, and delivering compensation data. Responsibilities include assisting with salary planning, conducting compensation research, preparing recommendations, handling day-to-day analysis, and providing analytical support for reporting and compliance.
As a Staff Machine Learning Engineer at Canva, you'll develop AI/ML strategies to enhance customer support, lead the creation of natural language understanding systems, and collaborate with teams to leverage ML capabilities while mentoring other engineers.
As a Data Scientist, your role involves building and improving models to identify credit risk, optimize marketing spending, and predict customer churn. You'll work with structured data, create classification models, and collaborate with Product and Engineering teams.
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