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Top Hybrid Data Science Jobs in San Francisco, CA
As a Data Science Manager at ZS, you will lead the development of ML-based enterprise products, architect AI data products, solve complex problems with a hybrid team of scientists and engineers, and engage with clients to deliver transformative solutions. You will also contribute to recruiting and training talent, and shape firm strategy around AI.
Lead the development lifecycle of ML-based products, focusing on AI-enabled data solutions for complex business problems. Collaborate with teams of data scientists and engineers, engage with clients, publish thought leadership, and drive AI strategy.
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As a Senior Credit Risk Analyst, you will develop credit strategies, perform A/B testing, and collaborate with various teams to optimize credit portfolio performance. Your expertise will help shape new product pricing strategies and enhance the evaluation frameworks for Square's credit ecosystem.
As a Staff Data Scientist at Square Banking, you'll analyze and develop strategies for loan products, collaborating with cross-functional teams to enhance product offerings and optimize user experiences, impacting the way businesses obtain funding.
The Senior Data Scientist in Ad Sales at Cash App will analyze large datasets, employ statistical techniques for insights, design A/B tests, work on data logging with engineers, create metrics for strategy, and develop data visualizations and dashboards to communicate findings effectively.
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As a Principal Data Scientist, you'll develop innovative AI/ML solutions, collaborate with cross-functional teams, and drive the creation of personalized user experiences through data analysis and modeling, utilizing a diverse technology stack.
Lead the growth data science area, analyze user behaviors, build attribution models, inform customer acquisition strategies, conduct experiments, and create reporting dashboards to optimize marketing efforts.
The Senior Data Scientist will analyze large datasets to generate insights, collaborate with the FinPlat team, design A/B tests, process data efficiently, create dashboards, and communicate findings to stakeholders. This role focuses on understanding customer behavior and improving product features.
The role involves designing and developing AI and GenAI solutions, predictive models, and data visualizations for clients. The associate will collaborate with teams to address complex business problems using advanced analytics and machine learning techniques while managing client expectations and delivering quality work.
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.
You will lead the scientific aspects of AI product delivery, collaborating with engineers and teams to enhance product usability. Responsibilities include managing risks, solving complex problems, sharing knowledge, and improving data quality. You will also represent Xero publicly through content and events.
The Machine Learning Scientist will apply advanced machine learning techniques to NLP and speech analytics, develop innovative models to solve complex challenges, collaborate with various teams, and drive initiatives for machine learning applications across the bank’s operations.
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