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Top Remote Data & Analytics Jobs in San Francisco, CA
The Senior Data Scientist will analyze large datasets to provide insights for the product team, design and evaluate A/B experiments, collaborate with engineers for data logging, and create data visualizations while effectively communicating findings to stakeholders.
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.
The Senior Machine Learning Engineer will collaborate with product and marketing teams to personalize customer interactions on Cash App, building and deploying machine learning models within the personalization domain. They will manage projects related to recommendations, search retrieval, and cross-selling, aiming to improve user engagement and revenue.
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The Senior Salesforce Business Systems Analyst will drive system improvements, manage integrated applications, and collaborate with stakeholders to support Gusto's Salesforce platform. Responsibilities include analyzing processes, ensuring effective requirements elicitation, and improving customer experience through scalable solutions.
As a Senior Data Engineer at Atlassian, you will design data models, build scalable data pipelines, and lead the development of data solutions. Responsibilities include extracting and cleaning data, improving data quality, and collaborating with various teams to drive business growth.
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As a Senior Data Scientist, you'll apply data science techniques to enhance sales and account management, develop predictive models, analyze experiments, and mentor junior team members while collaborating with cross-functional teams to drive data-informed decision-making.
As a Cloud Data & Analytics Senior Manager, you will guide clients in leveraging cloud data strategies to drive business results. Responsibilities include migrating data to cloud platforms, implementing data architectures, and leading teams to navigate complex business challenges while fostering a collaborative environment.
As a Staff Machine Learning Engineer at Cash App, you will build and integrate machine learning solutions to evaluate customer cash flow risk, support multiple products, optimize decisioning pipelines using AI/ML, and partner with cross-functional teams to leverage comprehensive customer data.
As Head of Data, you will lead and grow a team of Data Scientists, Engineers, and Analysts at Philo, working closely with various stakeholders to support data-driven decisions, build data models, run product experiments, and ensure efficient data processing across the organization.
As a Data Analytics Manager at Doximity, you will work with cross-functional teams to discover data insights and improve healthcare. Responsibilities include identifying behavioral patterns, leading data projects, and managing Data Analysts for growth and success.
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