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Immediately Hiring Data Science Jobs in California

Data Science

San Francisco, CA · On-site

$110 - $170/hr

Adidev Technologies Inc www.adidevtechnologies.com URGENT HIRE - HIRING PROCESS - 24-48 HOURS! Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last ...

The AI Product's Data Science org is at the center of the next generation of products at Figma ... We believe in hiring smart, curious people who are excited to learn and develop their skills. If ...

Data Science

San Francisco, CA · On-site

$90 - $120/hr

As part of the expansion of its activities, Sia is hiring a GenAI Consultant for its San Francisco ... You will play a key role in bridging the gap between Data Scientists, Machine Learning Engineers ...

Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. apply for this job

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely ...

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely ...

About the Role We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of ...

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Contribute to hiring and onboarding efforts for the team Qualifications: * Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

Contribute to hiring and onboarding efforts for the team Qualifications: * Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

Contribute to hiring and onboarding efforts for the team Qualifications: * Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science ...

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Contribute to hiring and onboarding efforts for the team Qualifications: * Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science ...

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Immediately Hiring Data Science information

What does 'Immediately Hiring Data Science' mean?

'Immediately Hiring Data Science' refers to job postings where employers are urgently seeking candidates to fill data science positions as soon as possible. Data scientists analyze and interpret complex data to help organizations make informed decisions. These roles typically involve skills in statistics, programming, and machine learning. If a company is immediately hiring, it means the hiring process may move quickly, so candidates should be prepared to apply and interview promptly.

What are some common challenges new data scientists face when joining a team, and how can they overcome them?

New data scientists often face challenges such as understanding legacy code, adapting to existing data infrastructure, and aligning their work with business objectives. It's important to communicate regularly with team members and stakeholders to clarify project goals and expectations. Taking time to familiarize yourself with the company's data sources and tools, as well as actively seeking feedback, can help ease the transition and accelerate your impact on the team.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree or certification. Familiarity with programming languages like Python or R, data visualization tools, and machine learning platforms is typically required. Strong problem-solving abilities, communication skills, and curiosity help distinguish top performers in this field. These skills are vital for extracting actionable insights from complex data sets and driving data-driven decision-making within organizations.

What is the difference between Immediately Hiring Data Science vs Immediately Hiring Data Analyst?

AspectImmediately Hiring Data ScienceImmediately Hiring Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams in tech, finance, or healthcare industries; project-based tasksBusiness environments, often in finance, marketing, or operations; focus on reporting and data interpretation
Employer & Industry UsageUsed by companies seeking advanced data modeling and predictive analyticsUsed by organizations needing data reporting, dashboards, and basic analysis

Immediately Hiring Data Science roles typically require advanced technical skills and focus on predictive modeling and machine learning, while Data Analyst positions emphasize data reporting and visualization. Both roles are in high demand but serve different functions within organizations.

What job categories do people searching Immediately Hiring Data Science jobs in California look for?

The top searched job categories for Immediately Hiring Data Science jobs in California are:

What cities in California are hiring for Immediately Hiring Data Science jobs?

Cities in California with the most Immediately Hiring Data Science job openings:

Infographic showing various Immediately Hiring Data Science job openings in California as of August 2026, with employment types broken down into 85% Full Time, 3% Part Time, 3% Temporary, and 9% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

AIML - Data Scientist, Responsible AI, Product Insights

Apple

Cupertino, CA • On-site

Full-time

Re-posted 18 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

Help shape the next generation of generative AI at Apple. We're hiring data scientists to work on ambitious projects that will influence the future of Apple, our products, and the people who use them every day.
In this role, you'll apply product data science to the safety of Apple Intelligence - features like Siri, Image Playground and Genmoji, Writing Tools, Photos Clean Up, and many more on the way. As part of Apple's Responsible AI Team, you'll support generative AI features from early development through production, holding the line on quality, safety, fairness, inclusion, and user privacy. Your insights will directly shape how millions of people experience safety in Apple Intelligence.
Description
Apple's Responsible AI Team is the steward of product safety for Apple Intelligence. We set safety policy and partner with feature engineering teams to ensure every generative AI experience Apple ships reflects our values.
Our work spans three pillars: human and automated red teaming; pre-ship safety evaluation and post-ship monitoring; and the design of safety mitigations - overrides, guardrail models, and base model safety alignment. This role brings the data science lens to all three. You'll uncover and characterize safety weaknesses for red teaming, ground evaluations in real-world usage signal, and measure the in-production performance of the mitigations we deploy.
The is a role for someone who loves the full arc of applied data science: scientific investigation, careful interpretation, cross-functional collaboration, and crisp communication of what the numbers actually mean.
Minimum Qualifications
MS, or PhD in Computer Science, Machine Learning, Statistics, or a related field; or equivalent experience.
Strong foundation in data science, analytics, and machine learning, including statistical analysis, A/B testing, and the full lifecycle of designing, running, and interpreting experiments.
Strong programming skills in Python and at least one data-querying language (SQL, Spark, or similar). Comfort with AI-assisted development tools such as Claude Code, Codex, or Copilot.
Track record of framing research and business questions, and answering them with the right statistical tools applied to messy real-world data.
Excellent technical communication skills, with a proven ability to explain hard ideas (especially causal ones) to audiences ranging from fellow data scientists to engineers to executive partners.
Willingness to work with highly sensitive material, including exposure to offensive and controversial content.
Preferred Qualifications
Experience working in the Responsible AI space.
Experience working with usage data from AI-powered products, and a current view on how these systems commonly fail.
A record of scientific research and publication.
Genuine curiosity about fairness and bias in generative AI, and a drive to make the technology more equitable.

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