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Ai Data Analytics Jobs in Santa Rosa, CA (NOW HIRING)

eAI

Head of AI & Data

Bodega Bay, CA · On-site

$135K - $163K/yr

Role Overview We are hiring a high-impact Head of AI & Data to lead the development of AI systems powering our analytics and decisioning platform for financial institutions. This role is responsible ...

Buck Institute

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

... Data Scientist / Agentic AI Engineer to join a collaborative research team focused on aging ... This role will help develop innovative AI-enabled systems for organizing, harmonizing, analyzing ...

Fabrion

Data Partnerships Analyst

Bodega Bay, CA · On-site

Data Partnerships Analyst Location: San Francisco Bay Area Type: Full-Time Compensation ... About the Role We're building an AI-native platform where industrial data becomes actionable ...

Lever Demo 2

Data Analyst - Evergreen

Bodega Bay, CA · On-site

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... If you would like more information about how your data is processed, please contact us. apply for ...

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All JobsAi Data Analytics JobsAi Data Analytics Jobs in Santa Rosa, CA

Ai Data Analytics information

See Santa Rosa, CA salary details

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How much do ai data analytics jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for ai data analytics in Santa Rosa, CA is $59.86, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $67.79 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized knowledge of tools like Python, TensorFlow, or cloud platforms.

Which 3 jobs will survive AI?

Data analysts, AI specialists, and cybersecurity professionals are expected to remain in demand as AI advances. These roles require critical thinking, complex problem-solving, and specialized skills that are difficult to automate fully. Continuous learning and proficiency with AI tools can enhance job security in these fields.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

How does an AI Data Analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the salary of an AI data analyst?

The salary of an AI data analyst typically ranges from $60,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, programming, and data visualization tools tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as an AI Data Analyst, and why are they important?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

What is AI Data Analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists in a collaborative environment.
What are popular job titles related to Ai Data Analytics jobs in Santa Rosa, CA? For Ai Data Analytics jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching Ai Data Analytics jobs in Santa Rosa, CA look for? The top searched job categories for Ai Data Analytics jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Ai Data Analytics jobs? Cities near Santa Rosa, CA with the most Ai Data Analytics job openings:
Ai Data Analytics jobs near you
Head of AI & Data

Head of AI & Data

eAI

Bodega Bay, CA • On-site

$135K - $163K/yr

Full-time

Posted 2 days ago

Job description

Role Overview

We are hiring a high-impact Head of AI & Data to lead the development of AI systems powering our analytics and decisioning platform for financial institutions.

This role is responsible for building and scaling production-grade AI agents, models, and data infrastructure that operate in real-world banking environments.

You will own the technical foundation of our platform from model design to deployment ensuring our AI systems are reliable, scalable, and enterprise-ready.

What You'll OwnAI Systems & Model Development
  • Lead design and development of AI/ML models for prediction, decisioning, and automation
  • Build AI agent systems using LLMs and structured financial data
  • Define model architecture, training approach, evaluation, and iteration cycles
  • Improve model performance across accuracy, reliability, and explainability
Data Infrastructure & Engineering
  • Build and scale data pipelines supporting real-time and batch processing
  • Design data architecture for structured and unstructured financial data
  • Ensure data quality, consistency, lineage, and security
  • Support integration of multiple data sources across banking workflows
Production Deployment & Scalability
  • Deploy models into production environments with high reliability and uptime
  • Ensure systems meet enterprise requirements (latency, scalability, observability)
  • Build monitoring systems for model drift, performance, and anomalies
  • Work closely with engineering to operationalize AI features at scale
Financial Use Cases & Domain Intelligence
  • Translate financial workflows into AI-driven systems
  • Build models for use cases such as:
    • risk scoring
    • credit decisioning
    • fraud detection
    • customer behavior prediction
  • Work closely with product and domain experts to ensure real-world applicability

What We're Looking ForRequired Experience
  • Experience building and deploying production ML/AI systems
  • Strong background in machine learning, data engineering, or applied AI
  • Experience working with large-scale datasets and model pipelines
  • Hands-on ability to design and ship systems (not just research)
  • Strong understanding of model evaluation and system performance
Strong Preference For Candidates With
  • Experience with LLMs, agent-based systems, or foundation models
  • Background at leading AI, infrastructure, or data companies
  • Experience in fintech, financial data, or regulated environments
  • Exposure to scalable cloud data/ML infrastructure (AWS, GCP, etc.)
  • Experience building systems from early-stage to production scale
What Success Looks Like (First 6-12 Months)
  • Production-grade AI systems powering core financial workflows
  • Stable, scalable data infrastructure supporting multiple product lines
  • Measurable improvements in model accuracy and system reliability
  • Clear AI architecture supporting enterprise adoption and scale
  • Strong collaboration with product and engineering to ship AI features
Why This Role

This is a high-impact opportunity to build the core AI infrastructure powering decisioning and analytics for financial institutions.

You will own the technical backbone of the platform and directly influence how AI is applied in real banking environments.

Reports to: CEO / CTO

Employment Type: FULL_TIME

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