Top Hybrid Senior Level Data & Analytics Jobs in San Francisco, CA
The Machine Learning Engineer will be part of Cash App's Risk ML team, working on identity verification and fraud detection using machine learning methods and systems. Responsibilities include reducing inauthentic identities, mitigating risk/fraud for the Cash Card product, and collaborating with cross-functional teams.
As a Senior Business Intelligence Engineer at Cash App, you will create and optimize data models for Customer Support, build frameworks for ETL reliability, mentor team members, and promote data best practices. You will work with a variety of technologies to enable impactful business decisions through data architecture and dashboarding.
As a Senior Business Intelligence Engineer at Cash App, you will work on creating and optimizing data models, building pipelines, and promoting data best practices. The role requires 5+ years of experience in building complex ETLs and proficiency in SQL, Airflow, and Python.
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.
The Senior Staff Data Scientist at SoFi will develop predictive models, perform monitoring, and contribute to loss forecasting and CECL models across various products. They will also collaborate with different teams, lead projects, and automate models and dashboards.
Staff Data Scientist role at a financial services company leading model development and performance monitoring for loss forecasting across various products. Responsibilities include data analysis, model automation, and collaboration with internal teams. Ideal candidate has 6+ years of experience with a Master's or PhD degree in a relevant field, proficiency in Python, SQL, and Tableau, and expertise in model development and data analysis.
As a Data Scientist at Roblox focusing on App Performance, you will work on enhancing the performance and reliability of the Roblox app by defining critical metrics, measuring impact, and using statistics and experiments to guide decision-making. You will collaborate with engineers, product managers, and leaders to create the best app experience for users across all devices.
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As a Distinguished Architect at ServiceNow, you will lead AI initiatives, architect intelligent products using cutting-edge technologies like deep learning, large language models, and natural language processing. Collaborate with engineering and product teams, build elegant architectures, architect reusable components, influence leadership, perform competitive analysis, and share thought leadership in the AI industry.
Hiring Senior Machine Learning Engineers to join the ML Platform team. Responsible for building a scalable Machine Learning platform.
Lead team projects and conduct bioinformatics analyses to solve complex scientific problems. Provide technical leadership and collaborate across teams. Mentor junior members of the team.
As a Senior or Lead Big Data DevOps Engineer, responsible for setting up, scaling, and maintaining Big Data infrastructure and tools in private and public cloud environments. Drive efficiency improvements, lead architecture and design efforts, ensure availability and reliability of infrastructure, and build operational tools. Evaluate, design, and deploy monitoring tools and practices. On-call support of production systems.
Build, optimize, and deploy machine learning models for identity resolution and ads attribution. Collaborate with cross-functional teams and stay up-to-date with the latest technology. Strong understanding of machine learning approaches and algorithms.
Staff Data Analyst role at Gusto, responsible for leading data analysis, reporting, visualization, performance tracking, and promoting data-informed mindset within the organization. Requires at least 7 years of experience in a product-focused software company.
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As a Senior Data Analyst in Product Lifecycle Marketing, you will leverage data and analytics to optimize marketing efforts, measure impact on brand health, and improve marketing efficiency. Responsibilities include guiding measurement of marketing activities, developing predictive models, and partnering with marketing leadership. Requires 5+ years of experience in Marketing Analytics, knowledge of FinTech/Banking/Credit, and expertise in data science techniques and marketing channels.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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