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Data Research Jobs in California (NOW HIRING)

We are looking for an ML Data Researcher who will tackle this exact challenge. Your goal will be to design and conduct experiments on our data collection methods to discover techniques that reduce ...

We are looking for an ML Data Researcher who will tackle this exact challenge. Your goal will be to design and conduct experiments on our data collection methods to discover techniques that reduce ...

We are looking for an ML Data Researcher who will tackle this exact challenge. Your goal will be to design and conduct experiments on our data collection methods to discover techniques that reduce ...

We are looking for an ML Data Researcher who will tackle this exact challenge. Your goal will be to design and conduct experiments on our data collection methods to discover techniques that reduce ...

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Data Research information

See California salary details

$8

$26

$65

How much do data research jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for data research in California is $26.61, according to ZipRecruiter salary data. Most workers in this role earn between $14.59 and $31.54 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Data Research?

A Data Research professional typically spends their day gathering large datasets from various sources, cleaning and organizing data, and conducting in-depth analyses to identify trends and meaningful insights. They often collaborate closely with other data professionals, business analysts, and cross-functional teams to understand project goals and deliver relevant findings. In addition, they prepare reports or visualizations to communicate their results and may present these to stakeholders. The role often requires adaptability, as project priorities and data sources can evolve frequently, making each day varied and engaging.

What is a data research job?

A data research job involves collecting, analyzing, and interpreting data to support decision-making and problem-solving within organizations. It often requires skills in data analysis tools, statistical methods, and attention to detail, with roles available in various industries such as finance, healthcare, and technology.

What is a Data Research job?

A Data Research job involves collecting, analyzing, and interpreting data to support decision-making and business strategies. Professionals in this role gather information from various sources, clean and organize datasets, and identify trends or patterns. They often use statistical tools and software to extract meaningful insights. Data researchers work in industries like finance, marketing, healthcare, and technology, helping organizations make data-driven decisions. Strong analytical skills, attention to detail, and proficiency in data tools are essential for success in this role.

Is 40 too late for data science?

Data research roles in data science do not have strict age limits, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as building a strong portfolio and gaining practical experience. Age should not be a barrier if you focus on continuous learning and skill development.

What are the key skills and qualifications needed to thrive in the Data Research position, and why are they important?

To thrive as a Data Research professional, you need strong analytical skills, attention to detail, familiarity with data collection methods, and typically a degree in a relevant field like statistics, mathematics, or information science. Proficiency with data analysis tools such as Excel, SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI are commonly required, and specialized certifications in data analytics can be advantageous. Key soft skills include curiosity, critical thinking, collaboration, and effective communication to present findings clearly. These abilities are crucial for ensuring accurate data collection, insightful analysis, and actionable recommendations to support organizational decision-making.

What does a data researcher do?

A data researcher collects, analyzes, and interprets large datasets to identify patterns, trends, and insights that support decision-making. They often use tools like Excel, SQL, or statistical software and require strong analytical skills and attention to detail. Their work helps organizations make informed strategic choices based on data evidence.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts will continue to be essential for interpreting complex data, making strategic decisions, and applying domain knowledge that AI cannot replicate. Skills in data visualization, statistical analysis, and tools like SQL and Python remain valuable in this evolving field.
What are the most commonly searched types of Data Research jobs in California? The most popular types of Data Research jobs in California are:
What cities in California are hiring for Data Research jobs? Cities in California with the most Data Research job openings:
Infographic showing various Data Research job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $55,344 per year, or $26.6 per hour.

ML Data - Research Scientist

Apple

Cupertino, CA

$184K - $277K/yr

Full-time

Medical, Dental, Retirement

Posted 8 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 675 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 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, smart 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 passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product.
Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.
Description
When collecting multi-modal human data, establishing a reliable "ground truth" can be notoriously difficult and subjective. We are looking for an ML Data Researcher who will tackle this exact challenge. Your goal will be to design and conduct experiments on our data collection methods to discover techniques that reduce subjectivity, improve signal quality, and ultimately help our multi-modal models converge faster and achieve higher performance.","responsibilities":"Define research topics and data strategies aligned with model performance and product requirements
Design, build, and run controlled experiments to evaluate how data collection methods, quality, and composition affect model convergence and downstream performance
Design new ways to collect, label, and interpret multi-modal human data, translating insights into improved collection protocols and data specifications
Design novel methods to collect, analyze, and interpret multi-modal human data, translating these insights into highly reliable "ground truth" specifications
Characterize the practical and statistical limits of data collection setups (sensors, protocols, annotation pipelines) to inform feasibility and define data requirements
Develop and analyze real-world data collection experiments (e.g., A/B tests on collection methodology, sampling strategy, labeling schemes) to support model training work
Analyze and report results clearly, translating findings into actionable recommendations for data pipelines, labeling guidelines, and dataset design
Partner with multidisciplinary teams across hardware, software, research, and ML engineering to drive data collection from concept to production-scale
Preferred Qualifications
MS/PhD in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
10 years of relevant industry experience
Experience with multi-modal human data (e.g., video, audio, motion capture) and the challenges of establishing ground truth for such data
Familiarity with human probing/annotation methods and inter-rater reliability techniques
Experience designing data collection experiments and interpreting their effect on model training/convergence
Outstanding communicator with the ability to present complex technical findings to diverse audiences
Collaborative team player who thrives in multidisciplinary, cross-functional environment
Minimum Qualifications
BS in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
Hands-on experience in a data-oriented, experimentation-heavy role, ideally supporting ML model development
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 $184,700 and $277,600, 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.

What Apple employees say

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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