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Applied Data Science Jobs in California (NOW HIRING)

The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization. The AI/ML Engineer role is central to this mission - prototyping AI solutions ...

Data Scientist

Sunnyvale, CA · On-site

$110K - $190K/yr

Strong candidates may come from academic research, measurements in technical industries, or applied data science. You should have experience with: * Hands-on data analysis using Python, SQL, or ...

Data Scientist

Sunnyvale, CA · On-site

$110 - $190/hr

Strong candidates may come from academic research, measurements in technical industries, or applied data science. You should have experience with: * Hands‑on data analysis using Python, SQL, or ...

Qualifications: - Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

Qualifications: - Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

Qualifications: - Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

The Opportunity The Sr. Manager of People Data Science will lead and develop the data science ... Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

The Opportunity The Sr. Manager of People Data Science will lead and develop the data science ... Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Senior Data Scientist

Mountain View, CA · On-site

$149K - $202K/yr

Qualifications Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field. 4+ years of progressive experience in applied data science roles with increasing ...

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

Qualifications Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field. 4+ years of progressive experience in applied data science roles with increasing ...

Senior Data Scientist

Mountain View, CA · On-site

$149K - $202K/yr

Qualifications Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field. 4+ years of progressive experience in applied data science roles with increasing ...

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

Qualifications Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field. 4+ years of progressive experience in applied data science roles with increasing ...

Showing results 21-40

Applied Data Science information

See California salary details

$25.5K

$144.2K

$219.3K

How much do applied data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for applied data science in California is $144,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,163.00 and $179,198.00 per year, depending on experience, location, and employer.

What does an applied data science do?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive in applied data science?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What is an applied data science?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What cities in California are hiring for Applied Data Science jobs? Cities in California with the most Applied Data Science job openings:
Infographic showing various Applied Data Science job openings in California as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $144,191 per year, or $69.3 per hour.

AI/ML Engineer, Applied Data Science

Apple

Cupertino, CA

$175K - $263K/yr

Full-time

Medical, Dental, Retirement

Re-posted 7 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Are you passionate about taking AI from prototype to production at scale?
Do you enjoy the craft of prompt engineering, retrieval optimization, and grounding?
Can you build AI systems that are not just impressive demos, but reliable production tools?
The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization. The AI/ML Engineer role is central to this mission - prototyping AI solutions, then scaling them to production systems that attorneys rely on every day.
Description
The AI/ML Engineer builds AI capabilities from prototype to production. You will develop prompt engineering solutions, RAG pipelines, AI agents, and evaluation frameworks - starting with rapid prototypes to validate use cases, then engineering them into scalable, production-grade systems. This role requires both the creativity to explore what's possible and the rigor to build what's reliable.","responsibilities":"Prototype AI solutions to rapidly validate use cases and demonstrate feasibility
Scale successful prototypes into production-grade systems with reliability, monitoring, and maintainability
Implement prompt engineering solutions optimized for legal use cases
Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and knowledge graphs
Develop context engineering approaches that leverage the semantic layer for improved accuracy
Implement grounding mechanisms to reduce hallucinations and improve factual accuracy
Build evaluation frameworks to measure AI accuracy, relevance, and safety across use cases
Integrate AI capabilities with legal workflows (CLM, matter management, eBilling)
Develop AI agent solutions for automation use cases across legal operations
Implement guardrails and safety mechanisms for production AI systems
Collaborate with AI Architect on system design and technical standards
Support AI Product Developers with APIs, integration patterns, and technical guidance
Preferred Qualifications
Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks
Experience with agentic AI frameworks (LangGraph, CrewAI, or similar)
Familiarity with knowledge graphs and GraphRAG patterns
Experience with AI evaluation tools (RAGAS, DeepEval, or similar)
Knowledge of legal domain and legal NLP applications
Experience with guardrails and safety frameworks (Guardrails AI, NeMo Guardrails)
Understanding of MCP (Model Context Protocol) or similar integration patterns
Experience deploying and monitoring AI systems at scale
Track record of shipping AI products that users rely on
Minimum Qualifications
4+ years of delivering solutions in AI/ML engineering, NLP, or related roles
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)
Experience with LLM APIs (OpenAI, Anthropic, or similar)
Experience with RAG architectures and vector databases
Understanding of prompt engineering techniques and best practices
Experience taking AI systems from prototype to production
Experience with evaluation frameworks for AI systems
Supporting AI applications in production
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,500 and $263,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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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