Top Data Science Jobs in San Francisco, CA
The Senior Data Scientist will collaborate with business teams to define priorities, develop models and analyses, process large datasets, and communicate insights with diverse audiences. Responsibilities include identifying impactful projects, staying current with data processing techniques, and technical guidance to other team members.
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As a Staff Data Scientist on the Dashboard Analytics team, you will leverage data engineering, business intelligence, and machine learning to drive data-driven decision-making and optimize seller experiences. You will collaborate with cross-functional teams, define key metrics, and communicate insights to inform strategic initiatives.
As a Senior Data Scientist at Atlassian, you will collaborate with various cross-functional teams to apply quantitative analysis and develop strategies that influence product and business decisions. You will leverage data to identify opportunities, measure product success, and communicate insights effectively.
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The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.
You will lead growth data science efforts to enhance user growth, collaborate with marketing and product teams, analyze customer behavior, design experiments, and create reporting dashboards to track marketing effectiveness.
Notion is seeking a Data Scientist for their product data science team. The role involves transforming data into evidence to direct product decisions, working closely with engineering teams, and impacting the development of Notion through various data-related tasks. Key responsibilities include applying statistical inference, defining problems and opportunities, designing experiments, and partnering with product, engineering, and marketing teams.
The Senior Data Scientist, AI Foundations will work on scalable AI/ML solutions for Capital One's mobile app, collaborating with cross-functional teams to enhance customer interaction through innovative features powered by generative AI. The role involves leveraging technologies for data insights, developing NLP models, and bringing advanced ML applications into production.
The Principal Engineer will lead efforts in machine learning and AI, collaborating with teams to build impactful products, setting technical standards, and mentoring others. Responsibilities include hands-on development, technical leadership, and influencing hiring and coding practices.
As a Credit Analyst, you will underwrite and process auto loan applications, focusing on credit worthiness and risk mitigation. You will negotiate with auto dealerships, resolve loan issues, and ensure compliance with lending policies while keeping up with industry trends.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm's thought leadership by researching and publishing on evolving topics.
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