Top Data & Analytics Jobs in San Francisco Bay Area, CA
As a Senior Architect, you will provide guidance on DataBricks, design data flow and processing pipelines using modern tools like Spark, and ensure data management and integrity. You'll coach consultants, collaborate with data application owners, and contribute to best practices in a variety of sectors including Healthcare and Financial Services.
As a Senior Data Analyst at Gusto, you will leverage data to support strategic decision-making, collaborate with various teams to identify growth opportunities, analyze data for insights, and develop visualizations and reports to communicate findings effectively.
As a Quantitative Analytics Manager at Affirm, you will work with the Capital Markets team to structure and price consumer loan transactions, develop capital structuring models, analyze loan performance, and collaborate cross-functionally to optimize funding strategies.
The Analytics Manager will develop and implement Continuous Auditing and Data Analytics programs, conducting reviews and testing, managing risks, and training team members. This role will enhance audit procedures and ensure compliance with business objectives, acting as a data analytics expert to support internal controls.
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As a Data Analyst at Doximity, you'll analyze extensive datasets to uncover behavioral patterns among medical professionals, collaborate with cross-functional teams on data projects, and contribute to analytics for product and client needs, while informing the data team's strategy.
As Senior Director of Creator & Engine Data Science at Roblox, you will shape the data strategy for the creator ecosystem, leveraging advanced analytics, machine learning, and AI technologies to enhance creator success and optimize engine performance. You will evaluate algorithms, balance creator needs with engine development, and collaborate with cross-functional teams to drive impactful data science initiatives.
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As a Senior Machine Learning Engineer, you'll develop and implement advanced machine learning algorithms, train models, collaborate with product and engineering teams, and guide junior engineers, ensuring AI integration across Atlassian products with a focus on practical applications and efficiency.
As a Principal Associate Cyber Threat Researcher, you will leverage your expertise to identify, analyze, and mitigate cyber threats. Responsibilities include synthesizing data from various sources to inform detections, maintaining knowledge of the current cyber threat landscape, and building relationships across Capital One's business to communicate findings effectively.
As a Principal Data Scientist, you will work on developing machine learning models, conducting experiments to improve customer experiences, and building scalable production systems for vast amounts of transactional data. You'll collaborate closely with engineering and product teams, focusing on cutting-edge technologies in AI and analytics.
The Senior Workday Configuration Analyst will configure and maintain Workday modules such as Core HCM, Compensation, Absence, and Benefits, improve processes, lead implementations and upgrades, translate business needs into technical requirements, and support production issues while creating advanced reports.
As a Machine Learning Engineer at Snap Inc, you will create models that enhance user experience, evaluate technical trade-offs, perform code reviews for quality assurance, and build scalable products while prioritizing swift iteration.
As a Machine Learning Engineer at Snap Inc, you'll create models to drive value, evaluate technical decisions, and ensure high code quality while building scalable products and mentoring others.
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As Director of Data Science and AI, you will lead a diverse team of Data Scientists, Machine Learning Engineers, and Data Analysts. Your role involves finding AI opportunities, overseeing the design and deployment of ML solutions, and collaborating with product and engineering leaders. You will guide your team towards project objectives and contribute strategically to the company's goals.
As a Staff Machine Learning Engineer for Conversational AI at Square, you will lead machine learning projects, focusing on creating intelligent solutions across products. Responsibilities include collaborating with stakeholders, driving end-to-end ML projects, mentoring team members, and ensuring engineering quality.
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