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Top Hybrid Data Science Jobs in San Francisco, CA
As a Principal Data Scientist, you will lead the Recommendation & Personalization team in creating AI/ML solutions for Capital One's platforms. Responsibilities include collaborating with cross-functional teams, building machine learning models, and translating complex data insights into business strategies.
The Applied Researcher I at Capital One will collaborate with cross-functional teams to develop AI-powered products. Responsibilities include utilizing a variety of technologies to analyze large data sets, building AI models through their entire lifecycle, and conducting impactful applied research to enhance customer experiences.
As an Applied Researcher II, you will work with a cross-functional team to deliver AI-powered products, build AI foundation models, conduct impactful applied research, and translate complex ideas into business goals.
The Senior Data Scientist will analyze large datasets to provide insights for the product team, design and evaluate A/B experiments, collaborate with engineers for data logging, and create data visualizations while effectively communicating findings to stakeholders.
As an AI & GenAI Data Scientist at PwC, you will leverage advanced analytics and machine learning to develop predictive models, conduct statistical analysis, and create data visualizations. You will work collaboratively with clients to solve complex business problems, aiming to transform data into actionable insights.
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As a Lead Data Scientist at Brigit, you will build and maintain models to identify credit risk, optimize marketing spend, and reduce churn. You’ll work closely with product and engineering teams and handle the full modeling lifecycle, analyzing data to derive insights that support the company's mission of enhancing financial wellness for customers.
As Vice President, Client, Finance & Strategy Data Scientist Lead, you will leverage advanced analytics to inform strategic decisions, managing end-to-end data processes including requirements gathering, model creation, and data visualization. Your role involves interfacing with senior stakeholders and developing insights through techniques like predictive modeling and machine learning, while ensuring data integrity and compliance.
As a Senior Data Scientist at Cash App, you'll analyze large datasets using SQL and scripting languages, design A/B experiments, collaborate with engineers, and build data visualizations. Your work will enhance the peer-to-peer transfers product by deriving insights to inform product strategies and decisions.
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As a Senior Data Scientist, you'll apply data science techniques to enhance sales and account management, develop predictive models, analyze experiments, and mentor junior team members while collaborating with cross-functional teams to drive data-informed decision-making.
As a Data Science Manager, you will lead the development of ML-based products, architect AI data solutions, collaborate with teams to deliver transformative client solutions, and publish thought leadership pieces. Your role includes solving complex business problems and fostering talent within the organization.
As a Principal Applied Scientist, you will lead the delivery of AI products, collaborate with ML engineers, improve data quality and usability, and engage in public-facing content to enhance Xero's profile. The role requires a focus on creating impactful, customer-facing ML and AI solutions while emphasizing high-quality code from the outset.
As a Senior Revenue Systems Analyst, you will manage subscription billing and revenue recognition processes, collaborate with sales and billing teams on complex scenarios, identify automation opportunities, generate revenue reports, and coordinate with auditors for compliance. You will work within NetSuite ERP and contribute to maintaining the accuracy and efficiency of financial operations.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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