Top Data Science Jobs in San Francisco Bay Area
Principal Data Scientist specializing in Natural Language Processing (NLP) at Capital One's AI Foundations Specialist Models Data Science team. Responsible for building and operationalizing machine learning and NLP models using advanced technologies for customer-facing applications. Collaborate with cross-functional teams to deliver AI-powered products that enhance customer interactions with financial services.
As a Data Scientist on the Apollo team at Capital One, you will be responsible for building machine learning pipelines to resolve billions of records and extract valuable insights. You will collaborate with a cross-functional team and use a variety of technologies to reveal hidden insights within data.
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Participate in data science projects, collaborate with cross-functional teams, apply quantitative analysis, develop strategies, and improve products through insights and recommendations.
Atlassians have flexibility in where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is ...
Designs, develops, and programs methods and systems to analyze big data sources and generate insights and solutions. Interacts with teams to identify data analysis questions and issues. Cleanses and integrates large datasets from multiple sources. Identifies meaningful insights and communicates findings to managers.
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Data Scientist role at Grammarly's Enterprise Data Science team, focusing on marketing, demand generation, revenue operations, and sales development. Requires strong track record in B2B data science projects and familiarity with enterprise buyer sales process.
As a Decision Scientist, apply data-driven techniques to identify new opportunities, participate in project definition, and impact business strategy setting outcomes. Responsible for implementing, documenting, and monitoring customer-facing decisions and risk controls. Collaborate with ML teams to inform model performance evaluations. Part of Cash App's ML team focusing on automation policies for Cash Card disputes.
Design fundamental processes and data pipelines, develop insights through analytics, work with product and engineering teams, design experiments, and develop models to automate decisions in support of safety goals.
Research Scientist position at Deepgram focused on voice AI models.
Develop quantitative/machine learning models to forecast product losses, analyze complex datasets, conduct loss sensitivity analysis, and automate models and analytical dashboards. Collaborate with various teams to communicate loss expectations and trends effectively.
The Staff Data Scientist at Instacart will be responsible for developing statistical methodologies for product experimentation and providing expertise in experimentation, adaptive experiments, and causal inference. They will work closely with stakeholders and other data scientists to drive business decisions based on experimental findings.
Seeking a Senior Manager of Data Science to develop a world-class team, build strong stakeholder relationships, and drive growth using data insights. Responsibilities include tying data science projects to business problems, breaking down projects, resilience, and coaching a team. Required skills include team management, results-driven mindset, adaptability, and technical proficiency in Python, SQL, and analytics.
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