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Data Science Assistant Jobs in California (NOW HIRING)

Apple

Services Finance, Data Scientist

Cupertino, CA

$172K - $258K/yr

The Services Finance Data Science and Engineering team is seeking a passionate and highly motivated ... You will demonstrate proficiency in using AI coding assistants (such as Claude Code, Codex, etc ...

Deloitte

AI and Data Science Engineer III

Costa Mesa, CA · On-site +1

$122K - $147K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... knowledge assistants, summarization, and policy question-and-answer solutions using secure ...

Deloitte

AI and Data Science Engineer III

San Francisco, CA · On-site +1

$134K - $162K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... knowledge assistants, summarization, and policy question-and-answer solutions using secure ...

Deloitte

AI and Data Science Engineer III

Sacramento, CA · On-site +1

$122K - $146K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... knowledge assistants, summarization, and policy question-and-answer solutions using secure ...

Deloitte

AI and Data Science Engineer III

San Jose, CA · On-site +1

$134K - $161K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... knowledge assistants, summarization, and policy question-and-answer solutions using secure ...

Deloitte

AI and Data Science Engineer III

San Diego, CA · On-site +1

$121K - $146K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... knowledge assistants, summarization, and policy question-and-answer solutions using secure ...

Deloitte

AI and Data Science Engineer III

Los Angeles, CA · On-site +1

$123K - $148K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... knowledge assistants, summarization, and policy question-and-answer solutions using secure ...

Rich Data Co

Senior Data Scientist

San Jose, CA

With built-in AI assistants and clear rationales for every recommendation, we empower banks across ... AI is a cloud native AI Decisioning company and the Data Science function is key to our ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data science assistants can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is not a barrier if you develop the necessary competencies and stay current with industry trends.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What is a data scientist assistant?

A data scientist assistant supports data scientists by collecting, cleaning, and analyzing data, often using tools like Python or R. They help prepare reports, build models, and may need knowledge of statistics and data visualization to contribute effectively to data projects.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret results, develop models, and make strategic decisions. Data scientists are increasingly required to work alongside AI tools, focusing on complex problem-solving, model development, and domain expertise. Continuous learning and proficiency in programming languages like Python and tools such as machine learning frameworks remain essential for the role.

Which is better, DS or CS?

For a Data Science Assistant role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes algorithms, programming, and software development. The choice depends on the specific job requirements and your career goals, but familiarity with programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in California? The most popular types of Data Science jobs in California are:
What are popular job titles related to Data Science Assistant jobs in California? For Data Science Assistant jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in California look for? The top searched job categories for Data Science Assistant jobs in California are:
What cities in California are hiring for Data Science Assistant jobs? Cities in California with the most Data Science Assistant job openings:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in California as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

AI Applications and Data Science Engineer

CXApp, Inc

San Ramon, CA • On-site

$127K - $153K/yr

Full-time

Medical, Dental, Retirement

Posted 12 days ago

Job description

Who We Are
CXAPP is a forward-thinking technology company that leverages AI and data science to drive innovation and deliver cutting-edge solutions. At CXApp, we are the innovators of Indoor Intelligence, delivering actionable insights for people, places and things. Our flagship product "CXAI" (formerly CXApp) is a workplace experience platform for the enterprise. Our technologies and solutions help enterprise customers deliver a comprehensive business journey in a work 'from-anywhere' world for employees, partners, customers, and visitors.
We take pride in the way we positively impact the daily lives of our customers and continue to push the boundaries of how our platform can benefit others.
Job Description:
As an AI Applications and Data Science Engineer at CXAPP, you will be at the forefront of our AI and data-driven initiatives. You will play a pivotal role in designing and developing AI-driven applications and systems, including NLP-powered chatbots, predictive analytics models, recommendation engines, and data automation solutions. This role offers a unique opportunity to work on exciting projects and make a meaningful impact on our organization and clients.
Key Responsibilities:
  1. NLP and Chatbot Development: Lead the design, development, and maintenance of NLP-powered chatbots and virtual assistants to enhance user experiences and automate interactions.
  2. Predictive Analytics: Design and implement predictive models to forecast trends, user behavior, and business outcomes, providing data-driven insights.
  3. Recommendation Systems: Develop recommendation engines that personalize content, products, or services for users, optimizing engagement and satisfaction.
  4. Data Engineering: Build robust data pipelines, data lakes, and ETL processes to collect, preprocess, and transform data for analysis and modeling.
  5. Automation: Implement automation solutions for repetitive tasks, optimizing efficiency and reducing manual workloads.
  6. AI Integration: Collaborate with cross-functional teams to integrate AI and data science capabilities into existing systems and applications.
  7. Performance Optimization: Optimize the performance and scalability of AI applications, ensuring real-time responsiveness.
  8. Data Security and Compliance: Implement data security measures and ensure compliance with relevant data privacy regulations (e.g., GDPR).
  9. Documentation: Maintain comprehensive documentation for AI models, data pipelines, and automation processes.
  10. Collaboration: Work closely with data scientists, software developers, product managers, and business stakeholders to translate requirements into AI solutions.
  11. Continuous Learning: Stay up-to-date with the latest AI and data science trends, technologies, and best practices.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience in NLP and chatbot development.
  • Strong expertise in predictive analytics and recommendation systems.
  • Proficiency in data engineering, ETL processes, and data automation.
  • Hands-on experience with AI and data science tools and frameworks.
  • Programming skills in Python, Java, or relevant languages.
  • Knowledge of cloud platforms (e.g., AWS, Azure) for AI and data solutions.
  • Understanding of data security and compliance regulations.
  • Excellent problem-solving and communication skills.
  • A collaborative and innovative mindset.
  • Commitment to continuous learning and professional development.

Benefits:
  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and retirement plans.
  • Opportunities for professional development and growth.
  • A dynamic and collaborative work environment.
  • The chance to work on cutting-edge AI projects with a talented team.

Join our team of talented engineers and make a significant impact by developing cutting-edge software solutions that empower businesses to harness the power of analytics and AI. Apply now and be part of our exciting journey towards innovation and digital transformation.

Apply