Top Hybrid Data Science Jobs in San Francisco, CA
As a Data Scientist, your role involves building and improving models to identify credit risk, optimize marketing spending, and predict customer churn. You'll work with structured data, create classification models, and collaborate with Product and Engineering teams.
As a Principal Data Scientist at Walmart, you will lead analytics initiatives within the US Marketing team, developing insight-driven marketing models and collaborating across teams to optimize marketing strategies. Your role includes analyzing customer engagement and sales data to inform decision-making and enhance Walmart's marketing impact.
The Senior Data Scientist will develop and deploy cyber risk models, quantify financial impacts of cyber risk, automate modeling processes, and communicate findings to stakeholders while collaborating with various teams.
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As a Data Scientist in Trading Operations, you will be responsible for deriving insights from complex datasets, ensuring data correctness, identifying production anomalies, and automating analyses for ongoing monitoring within the Quantitative Trading Strategy team.
The ML Research Scientist will lead research projects enhancing the Genesis AI platform in generative modeling for molecular systems, conduct large-scale experiments, and mentor junior team members while contributing to the research community through publications.
As a Staff Data Scientist at Aircall, you'll lead data-driven projects focusing on AI and machine learning to optimize operations and enhance business success. Your responsibilities include overseeing the entire model lifecycle, mentoring team members, collaborating with AI engineers, and communicating insights to stakeholders, all while fostering a culture of experimentation and maintaining high standards in data governance.
The Lead Data Scientist will transform data into actionable insights for marketing strategies using advanced analytics and machine learning. Responsibilities include collaborating with teams, developing predictive models, optimizing marketing initiatives, and providing strategic recommendations based on data analysis to enhance customer acquisition and retention.
As a Senior Data Scientist, you will lead the creation of statistical and machine learning models, design experiments, analyze product performance, and collaborate with various teams to enhance AI product offerings. Your insights will drive strategic decisions and improve messaging strategies based on data-driven conclusions.
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Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.
The Research Scientist will investigate fundamental questions of intelligence and knowledge to develop software with human-level intelligence. Responsibilities include creating research questions, coordinating experiments, and mentoring research engineers, while collaborating with internal and external teams.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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