Top Hybrid Data & Analytics Jobs in San Francisco Bay Area, CA
Lead data science initiatives and guide a team of data scientists to drive data-driven decision-making. Collaborate with business stakeholders to identify opportunities, conduct data analysis, and develop machine learning models. Deploy models into production environments and measure business value delivered.
The Analyst Manager at Snap Inc will lead a team of analysts to deliver better campaigns through category-specific insights and learnings. This role involves collaborating with various teams to ensure campaigns are optimized and adapting to new findings.
As a Manager in Test Data Management, responsibilities include developing new skills, resolving team issues, coaching others, analyzing complex ideas, using data for decision-making, managing global trends, simplifying messages, and upholding ethics. Minimum requirements include a High School Diploma, 4 years of QA or technology experience, and Microsoft certification.
As a Manager in Cybersecurity and Data Privacy at PwC, you will be part of a team driving strategic programs, data analytics, innovation, and technical implementation activities. Responsibilities include defining Data Governance strategy, architecture, and practices.
Join PwC's Cybersecurity, Privacy, and Forensics team as a Manager focusing on Information Governance. Responsibilities include leading strategic programs, data analytics, cyber resilience, and technical implementation activities. Collaborate with top professionals to help clients protect their business through advanced information management approaches.
Featured Jobs
Senior Data Scientist role at Cash App focusing on analyzing large datasets, deriving insights, designing A/B experiments, and driving strategy based on data. Collaborate with cross-functional teams to improve customer support experience. Requires 5+ years of experience with a bachelor degree in statistics, data science, or related field.
Cash App is hiring a Staff Data Scientist to establish and scale a first line risk management program. The individual will be responsible for leveraging data to enable robust testing and monitoring processes, developing risk management strategies, and facilitating decision-making across various company-wide initiatives and risk programs.
Hiring a Staff Data Scientist to establish and scale a first-line risk management program, leveraging data for monitoring processes and risk management strategies across Cash App's ecosystem.
GoodRx is seeking a Senior Analyst, Performance Management and Growth to optimize marketing campaigns, analyze performance, and contribute to growth. Responsibilities include executing marketing campaigns, managing creative trafficking, optimizing campaigns, and providing insights for enhancement. Required qualifications include a Bachelor's degree, 5+ years of experience in managing performance marketing campaigns, strong analytical skills, proficiency with PowerPoint/GSlides, and experience with content management systems like Contentful. This role offers a salary range of $88,000 to $141,000 per year.
Lead a team of data specialists to drive data and commercial strategy, collaborate with product teams, manage projects and data artifacts, and shape analysis and recommendations at Canva. Responsible for developing and scaling the company's B2B data strategy and providing data-driven insights to support the Enterprise design product.
Lead Machine Learning Engineer responsible for designing, building, and delivering ML models and components to solve business problems. Collaborate with cross-functional teams to develop and deploy ML applications at scale using cutting-edge technologies. Implement responsible and explainable AI practices. Required skills include Python, Scala, Java, Kubernetes, KubeFlow Pipelines, Spark, and Dask.
Data Assurance Vice President responsible for overseeing risks and control effectiveness in AI/ML systems, establishing governance guidelines, and improving data management processes for a digital experience. Collaborate with cross-functional teams and support awareness programs on data risks and best practices.
Research and build high-impact end-to-end machine learning systems for customer growth, drive the design of scalable ML solutions in production, mentor engineers and data scientists, contribute back to research community through publications, deep knowledge in multiple ML methodologies, and production experience with ML-frameworks.
.png)
All Filters
No Results
No Results
