Top Senior Level 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.

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.

The Business Intelligence Analyst at Check will be responsible for developing and maintaining data models, extracting insights from data, and collaborating with various stakeholders to drive business impact through data-driven decision-making. The role involves working with key financial and business metrics, maintaining analytics infrastructure, and partnering with teams across the company.

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.

Lead Data Analyst role at Hims & Hers Health, Inc. focusing on evolving the electronic medical record (EMR) product through data analysis, experimental design, and collaboration with cross-functional teams. Responsible for driving product improvements, defining success metrics, and presenting insights to senior leadership. Requires expertise in statistical methods, SQL, Python, visualization tools, and a degree in Statistics or Mathematics.

The Manager, Cyber eDiscovery Senior Analyst at Capital One is responsible for utilizing eDiscovery and forensic software to collect electronically stored information, process data, provide technical support, and administer the enterprise eDiscovery application. The role involves coordinating data transfers, troubleshooting application and infrastructure issues, and communicating with internal and external parties to support legal discovery and investigation 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.

The Senior Manager, Data Science on the LLM Customization Team at Capital One will lead a cross-functional team to deliver AI-powered products, leverage NLP technologies, build models, and translate technical work into business goals.

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.

As a Distinguished Architect at ServiceNow, lead AI initiatives focusing on cutting-edge technologies like deep learning and natural language processing. Collaborate with engineering and product teams, build elegant architectures, architect reusable components, influence leadership, conduct competitive analysis, and showcase thought leadership in the AI industry.

The Business Systems Analyst - Quote to Cash at Cloudflare is responsible for developing and maintaining quote to cash systems and integrations, analyzing systems, resolving production issues, communicating with stakeholders, and improving processes within business applications. This role also involves collaborating with finance and internal teams to enhance efficiencies and reporting needs.