Top Remote Data Science Jobs in San Francisco Bay Area
As a Director in the Products & Technology Risk and Quality team at PwC, you will be responsible for managing technology and data risks, regulatory compliance, and leading a team to solve complex business issues. The role requires strong analytical, critical thinking, and communication skills.
Director role in Products & Technology Risk and Quality team at PwC. Responsible for managing technology and data risks, regulatory compliance, and developing strategies to drive business growth. Requires strong leadership, communication, and critical thinking skills.
Seeking a Data Rockstar to work with a data-centric group of analysts, data scientists, and engineers. Responsibilities include developing predictive models, effective dashboards, and providing insights for Cloud and Infrastructure strategy using AI and Machine Learning technologies.
Looking for a Data Scientist to join the Risk Data team at Square. Responsibilities include identifying and preventing fraud & credit risks, developing data pipelines, working with cross-functional teams, and influencing product roadmaps. Requires 5+ years of experience with SQL, Python, and Looker.
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Seeking a Senior Data Scientist for Customer Analytics role with a focus on empowering a fast-growing company with data and analytical insight. Responsibilities include analyzing data, influencing strategic decisions, and supporting product development. Must have strong analytics, communication skills, and the ability to work independently.
Join TIDAL's Data Science & Analytics team to shape the future of streaming and artist products. Translate business questions into analysis, provide data-driven recommendations, lead experiments, and develop KPIs for product success. Requires 4+ years of data science experience and expertise in SQL, Tableau, Looker, and Python.
The Staff Machine Learning Scientist will be responsible for developing generative AI applications for healthcare, collaborating with cross-functional teams, conducting healthcare-focused research, and designing and implementing generative AI models for healthcare scenarios.
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.
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.
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.
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