Top Data & Analytics Jobs in San Francisco, CA
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The Machine Learning Engineer will work on NLP projects for Grammarly's Enterprise team, focusing on building AI products and capabilities that enhance communication in organizations. The role involves applying ML technologies, collaborating with cross-functional teams, and innovating to solve technical challenges at scale.
The Machine Learning Engineer will develop new ML solutions to enhance the safety and fairness of Grammarly products, working in cross-functional teams and using state-of-the-art ML techniques. Responsibilities include building scalable ML solutions, mentoring team members, and integrating risk mitigation technology while communicating technical results effectively.
As a Principal Machine Learning Engineer, you will develop and implement cutting-edge machine learning algorithms and train sophisticated models, collaborating with cross-functional teams to integrate AI functionalities into Atlassian products. Your role includes designing system architectures, conducting experiments, and guiding emerging ML engineers to ensure AI's transformative potential is realized across offerings.
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.
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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.
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.
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