Top Hybrid Data & Analytics Jobs in San Francisco, CA
As a Senior Analyst for the Payments Platform, you'll optimize payment operations, build scalable systems, and generate insights on payment trends while collaborating with teams across the company to enhance efficiency and compliance.
Develop and apply advanced statistical models, leverage data analytics, design custom analyses, synthesize results for clients, develop client relationships, guide and mentor team members, and advance problem-solving skills.
Seeking a versatile and skilled data analyst to join the Fraud Platform team. Responsibilities include monitoring fraud patterns, developing reports in Tableau, refining fraud prevention measures, conducting ad hoc analysis, and preparing documentation for regulatory examinations. Requires 4+ years of data analysis experience, a quantitative degree, mastery of SQL, and experience with Snowflake and Tableau.
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The Senior Machine Learning Engineer will design and build services for ML modelers, integrate data streams to create efficient models, and lead MLOps initiatives. The role involves collaborating with various teams to enhance ML tools and infrastructure while maintaining production software and developing new solutions.
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.
The Lead Data Scientist will drive growth through data science by analyzing user behavior, creating attribution models, and developing marketing experiment frameworks. Responsibilities include informing acquisition strategies, building dashboards for monitoring trends, and mentoring junior data scientists.
The Lead Data Scientist at GoodRx will oversee data science projects related to pricing and incentives, mentor peers, and implement advanced forecasting and optimization systems. This role requires a background in machine learning and statistical modeling to enhance pricing strategies that impact customers and partners.
As a Senior Data Scientist at Snap Inc, you'll leverage your expertise in quantitative analysis and data modeling to derive actionable insights and optimize product development. Collaborating cross-functionally with product managers, engineers, and designers, you'll conduct statistical analyses and build predictive models to drive informed decision-making. This role involves crafting metrics and dashboards to communicate insights effectively and initiating projects aimed at discovering new opportunities within the company's data framework.
As an Analyst in the Equity Capital Markets team, you will execute transactions, support due diligence, prepare documents, build financial models, and draft presentation materials for M&A and capital markets transactions. You will collaborate with senior bankers and establish knowledge of market dynamics while interacting with clients and stakeholders.
The Sr. People Data Analyst role focuses on leveraging data to improve employee engagement and retention. Responsibilities include analyzing people data, developing dashboards and metrics, and collaborating with HR leaders to provide actionable insights. The analyst will also ensure data integrity and use visualization tools to communicate findings effectively.
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