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Generative Ai Data Analyst Jobs in California (NOW HIRING)

Cultivate and sustain strong, trusted relationships with key analysts covering enterprise AI, data platforms, generative AI, and relevant industry domains. Evaluations & Competitive Positioning

Cultivate and sustain strong, trusted relationships with key analysts covering enterprise AI, data platforms, generative AI, and relevant industry domains. Evaluations & Competitive Positioning

... generative AI) to streamline recurring finance workflows • Develop and optimize data pipelines to ... FP&A, and IT teams to understand pain points and translate them into automation and reporting ...

Generative AI Engineer

Sunnyvale, CA · On-site

$100 - $150/hr

Generative AI Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

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Generative Ai Data Analyst information

What is the salary of Generative Ai Data Analyst?

The average salary for a Generative AI Data Analyst ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with skills in machine learning, data analysis, and proficiency in tools like Python or TensorFlow tend to earn higher salaries.

What is a generative ai data analyst?

A generative AI data analyst is a professional who analyzes data related to generative artificial intelligence models, such as those used for creating text, images, or other content. They interpret model outputs, evaluate performance, and work with tools like Python, machine learning frameworks, and data visualization software to improve AI systems and inform decision-making.

What is the difference between Generative Ai Data Analyst vs Data Scientist?

AspectGenerative Ai Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, AI, or related fields; certifications in AI toolsBachelor's or Master's in Data Science, Statistics, or Computer Science; advanced certifications
Work EnvironmentTech companies, AI startups, data-driven departmentsResearch labs, tech firms, finance, healthcare
Employer & Industry UsageFocus on generating AI-driven insights, content, or modelsDeveloping models, analyzing data, building predictive algorithms

While both roles involve data analysis and AI, Generative Ai Data Analysts specialize in working with generative AI tools to produce content or insights, whereas Data Scientists develop and refine predictive models and algorithms. The roles often overlap but differ in focus and application.

What job categories do people searching Generative Ai Data Analyst jobs in California look for? The top searched job categories for Generative Ai Data Analyst jobs in California are:
What cities in California are hiring for Generative Ai Data Analyst jobs? Cities in California with the most Generative Ai Data Analyst job openings:

Applied Scientist - Generative AI Data Platforms

Adobe

San Jose, CA • On-site

Full-time

Posted 11 days ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies


Job description

Changing the world through digital experiences is what Adobe is all about. Adobe Firefly is redefining creativity through generative AI, enabling millions of users to create and transform images, videos, and digital experiences. The Adobe Firefly ASML team is seeking Applied Scientists and Engineers passionate about building scalable generative AI data platforms, synthetic data pipelines, and evaluation systems for next-generation image and video models. This role focuses on developing metadata-driven taxonomies, data quality dashboards, and robust evaluation frameworks to improve dataset diversity, quality, and model performance. Job Responsibilities Design and develop scalable synthetic data generation platforms and optimize image/video data pipelines for large-scale generative AI training. Build metadata-driven taxonomies, dashboards, and analytics tools to monitor dataset distribution, diversity, sample quality, and training readiness. Develop robust evaluation pipelines to assess data and model quality across accuracy, diversity, robustness, efficiency, and safety metrics. Collaborate with research scientists, engineers, and product teams to translate multimodal AI innovations into scalable production systems. Implement production-ready solutions using Python, PyTorch, and modern ML infrastructure to support generative AI workflows and continuous data quality improvement. What You'll Need to Succeed Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Experience building scalable ML infrastructure, synthetic data platforms, or multimodal image/video data pipelines. Strong knowledge of diffusion models, transformers, foundation models, and multimodal generative AI workflows. Proficiency in Python, PyTorch, data engineering, metadata management, dashboard development, and evaluation frameworks. Experience developing data quality, taxonomy, and visualization solutions for large-scale AI datasets. Excellent communication and collaboration skills with cross-functional research, engineering, and product teams. Demonstrated ability to translate research into production systems; publications in AI/ML or Computer Vision are a plus. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. #J-18808-Ljbffr


What Adobe employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982