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Top Data & Analytics Jobs in San Francisco Bay Area, CA
The Director, Insights will lead audience and user experience research initiatives, develop research roadmaps, partner with cross-functional teams, execute quantitative and qualitative research projects, interpret data into actionable insights, manage vendor relationships, and oversee the insights budget to support strategic decision-making and business growth.
The Staff Machine Learning Engineer will develop and implement machine learning models focused on churn, retention, and product recommendations. Responsibilities include leading projects, collaborating on solutions with stakeholders, and maintaining production-level systems, while advocating engineering best practices within the team.
The Staff Machine Learning Engineer will lead cross-functional projects focused on developing and optimizing machine learning solutions within the Square Conversational AI team. Responsibilities include collaborating with business leaders, building data-driven products, and providing mentorship, while advocating for engineering best practices.
The Compliance Analyst will assess global compliance risks and controls, perform gap assessments, conduct testing of compliance controls, document results, report findings, and track remediation efforts. The role involves developing methodologies and monitoring compliance landscapes while collaborating with various stakeholders and providing training.
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As an Applied Researcher I at Capital One, you will collaborate with cross-functional teams to develop AI-powered products, analyze vast datasets, and engage in applied research that enhances customer experiences. You will also build AI models across development phases and keep abreast of emerging AI technologies.
As an AI & GenAI Data Scientist at PwC, you will develop predictive models, conduct statistical analyses, and create visualizations to extract insights from large datasets. You are expected to leverage advanced analytics and machine learning techniques, collaborate with clients, and guide teams to solve complex business problems utilizing AI technologies.
As a Senior Associate in Deals Tech & Data Solutions at PwC, you will leverage data analysis and visualization techniques to generate insights, mentor junior team members, and build tech-enabled business solutions while managing multiple stakeholder engagements.
As a Staff Machine Learning Engineer on the Conversational AI team, you will lead machine learning projects to enhance Square's products through conversational and generative AI techniques. Responsibilities include collaborating, developing ML solutions, mentoring the team, and ensuring engineering quality while driving end-to-end machine learning initiatives.
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The Machine Learning Engineer role involves developing and implementing advanced machine learning algorithms, building scalable recommendation systems, and collaborating with various teams to solve business problems using AI/ML. Responsibilities include designing system and model architectures and conducting experimentation and evaluations.
As a Senior Machine Learning Engineer at Atlassian, you will develop and implement cutting-edge machine learning algorithms, train sophisticated models, and collaborate with various teams to integrate AI functionalities into products. You will design architectures, experiment rigorously, and guide junior engineers to leverage AI's transformative potential across the organization.
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The Lead Data Analyst at Chime will analyze user journeys, improve enrollment and conversion rates, and optimize marketing efforts through data storytelling, experimentation, and predictive modeling. The role involves deep-diving into datasets to uncover insights, mentoring analytics team members, and influencing decision-making across various departments.
As a Staff Data Scientist at Udemy, you will leverage deep learning and machine learning to enhance user-facing learning experiences and improve content recommendations. You will collaborate with cross-functional teams, develop machine learning models, mentor team members, and influence product roadmaps to drive impactful innovations.
The Staff Data Science Engineer at Instacart will engage in strategic development of data-driven solutions, focusing on intelligent systems, data collection, and distribution. The role involves building interfaces for data scientists and impacting multiple teams, while leading critical efforts with minimal oversight and collaborating across functions to innovate and grow the product.
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