Top Hybrid Senior Level Data & Analytics Jobs in San Francisco Bay Area
Lead the Modeling team within the Risk Analytics department, develop modeling strategies, implement machine learning approaches, monitor model performance, and present insights to leaders. Requires 10+ years of experience in building risk models and a degree in Computer Science or a related field.
Senior Data Scientist responsible for analyzing large datasets using SQL and scripting languages to derive actionable insights for improving customer experience. Collaborate with cross-functional teams to drive meaningful change and implement A/B experiments. Design and analyze metrics, build data visualizations, and communicate findings effectively.
ZS Discovery is seeking a Data Science Manager to shape and grow AI capabilities in pharmaceutical discovery, work closely with clients, lead a team of data scientists, develop AI offerings, and present thought leadership at industry conferences.
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As a Senior Data Analyst in Product Lifecycle Marketing, you will leverage data and analytics to optimize marketing efforts, measure impact on brand health, and improve marketing efficiency. Responsibilities include guiding measurement of marketing activities, developing predictive models, and partnering with marketing leadership. Requires 5+ years of experience in Marketing Analytics, knowledge of FinTech/Banking/Credit, and expertise in data science techniques and marketing channels.
Seeking a Senior Data Engineer to develop software systems and automation scripts using Python, build and operate data analytics solutions, develop Web APIs for ML models, and create interactive data visualizations. Must have a Bachelor's degree in Computer Science and 5 years of related experience.
Lead Data Scientist responsible for leading data science projects around consumer pricing, incentives & offers, and insurance. Providing mentorship to peers, building forecasting systems, and supporting the technical roadmap.
As a Senior Data Operations Specialist at ServiceNow, you will be responsible for evolving the foundational Data services and capabilities for AI and Machine Learning solutions. You will collaborate with AI Product Managers and engineers, troubleshoot data requests and issues, and ensure excellent support to the business units.
Develop standardized data models to access multi-modal real-world data (RWD) from disparate sources and generate regulatory-grade real world evidence (RWE) in support of GRAIL's mission to detect cancer early.
Drive the technical roadmap of Ad Marketplace and Pacing teams, design and implement machine learning models, collaborate with cross-functional teams to align on machine learning strategies, and provide technical direction to influence the ML community.
The Senior BI Engineer will be responsible for designing and building scalable BI platforms and customizable business-ready datasets. They will empower teams to make data-driven decisions and improve products and services. The engineer should have a deep understanding of big data and experience in creating semantic layers and self-service BI analytics.
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