1

Generative Ai Data Analyst Jobs in California (NOW HIRING)

We're looking for an experienced Lead Generative AI Analyst to join our team. This leadership role ... Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data ...

We're looking for an experienced Lead Generative AI Analyst to join our team. This leadership role ... Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data ...

Lead Data Scientist

San Francisco, CA · Hybrid

$130K - $200K/yr

Building and maintaining Generative AI Analytics * 40% : Critical-path data science projects * 20% : Partnering with Engineers, PMs, DaaS operational leads, and Finance What You'll Do * Own ...

Lead Data Scientist

San Francisco, CA · Hybrid

$130K - $200K/yr

Own Generative AI Analytics: Build and maintain end-to-end infra (semantic layer, LLM tooling ... Surface the next high-value data science opportunities at Snorkel and build the case for their ...

next page

Showing results 1-20

Generative Ai Data Analyst information

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 does a generative AI data analyst do?

A generative AI data analyst analyzes data to develop and improve AI models that generate content, such as text, images, or audio. They work with large datasets, use machine learning tools, and ensure data quality to support AI training and deployment processes.

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 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:

Software Engineer (Data Analytics), AI & Data Platforms (AiDP)

Apple

Sunnyvale, CA • On-site

$134K - $161K/yr

Full-time

Posted 13 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Apple's AI & Data Platform (AiDP) Data Services organization is seeking a motivated Software Engineer, Data Analytics focused on providing data analytics and search services. Engineers on this team build data processing platforms and develop required tooling for Apple's most critical internet services at massive scale. In AiDP, your work will benefit hundreds of millions of users.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
The AiDP Data Services Analytics team builds data analytics and search capabilities - provisioning, backup/restore, observability, and self-service - spanning OpenSearch, ClickHouse, SingleStore, Couchbase, Apache Doris, Apache Milvus, etc. This role involves supporting data processing and migration efforts across hybrid-cloud environments (On-Prem ↔ AWS ↔ AliCloud) following established Runbooks and adhering to local data residency and regulatory requirements (e.g., China's Cybersecurity Law and PIPL). This role requires good communication and collaboration with infrastructure teams and colleagues across a distributed team.
Minimum Qualifications
3+ years experience in data analytics and/or data search space
Experience and knowledge of Python programming language
Production experience on data analytics database such as Clickhouse etc.
Exposure to running infrastructure with reliance on automation tooling, across Datacenter and Cloud architectures (including Alibaba Cloud and/or AWS)
Bachelor's or Master's degree in Computer Science or a related work experience
Preferred Qualifications
Some operational experience with stateful services on Kubernetes
Exposure to database-as-a-service control planes, provisioning APIs, or self-service tooling
Experience assisting with cross-cloud / hybrid-cloud data migrations for transactional systems
Familiarity with observability concepts (SLIs/SLOs), backup, and DR practices for OLTP/distributed-SQL engines
Solid troubleshooting skills, a resourceful first-principles approach to problem solving, and good technical writing habits
Contributions to open-source database projects or internal data-platform tooling

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976