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Education Data Scientist Jobs in Riverside, CA (NOW HIRING)

Skyworks

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

Requisition ID: 77724 Description Skyworks Solutions is seeking a Machine Learning and Data ... Starting base pay will depend on relevant experience and skills, training and education, business ...

Edwards Lifesciences

Staff Data Scientist

Irvine, CA · On-site

$126 - $178/hr

As a Staff Data Scientist, you design the modeling and evaluation approaches that others build on ... education -or- Master's plus 5 years -or- PhD plus 2 years. Relocation is not provided for this ...

Rivian

Lead Data Scientist (Context Engineering)

Irvine, CA · On-site

$154K - $192K/yr

Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field; Master's degree preferred. * Experience: 8+ years in Data Architecture, Systems ...

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All JobsEducation Data Scientist JobsEducation Data Scientist Jobs in Riverside, CA

Education Data Scientist information

See Riverside, CA salary details

$48K

$172.2K

$254K

How much do education data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for education data scientist in Riverside, CA is $172,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.

What is the difference between Education Data Scientist vs Education Analyst?

AspectEducation Data ScientistEducation Analyst
Required CredentialsBachelor's or Master's in Data Science, Education, or related fields; programming skillsBachelor's or Master's in Education, Statistics, or related fields; data analysis skills
Work EnvironmentData-driven projects in educational institutions, edtech companies, research organizationsData collection, reporting, and assessment in schools, districts, or education departments
Employer & Industry UsageEdtech firms, research institutions, universitiesSchool districts, education departments, nonprofit organizations

Education Data Scientists focus on advanced data modeling, machine learning, and predictive analytics to improve educational outcomes. Education Analysts primarily handle data collection, reporting, and basic analysis to support decision-making. Both roles require strong analytical skills but differ in technical complexity and scope.

What are the key skills and qualifications needed to thrive as an education data scientist?

To thrive as an Education Data Scientist, you need strong expertise in statistics, data analysis, and programming (often with a background in data science, mathematics, or a related field). Familiarity with tools like Python, R, SQL, machine learning frameworks, and experience handling large educational datasets are typically required. Effective communication, problem-solving, and collaboration skills help you translate complex analyses into actionable insights for educators and administrators. These skills are vital for driving data-informed decisions that improve educational outcomes and institutional effectiveness.

How does an education data scientist typically collaborate with educators and administrators to drive data-informed decisions?

Education Data Scientists frequently work alongside teachers, school administrators, and curriculum designers to analyze student performance data, identify trends, and develop actionable insights. They often present their findings in accessible formats, such as dashboards or reports, and lead workshops to help stakeholders interpret and utilize the data effectively. Building strong communication skills is important, as translating technical results into practical educational strategies is a key part of the role. Collaboration is ongoing and iterative, with data scientists regularly collecting feedback to refine models and recommendations.

What does an education data scientist do?

An Education Data Scientist analyzes and interprets educational data to help schools, universities, and educational organizations improve learning outcomes and operational efficiency. They use statistical techniques, machine learning, and data visualization tools to uncover patterns, evaluate programs, and make data-driven recommendations. Their work may involve tracking student performance, evaluating curriculum effectiveness, and supporting education policy decisions. Education Data Scientists often collaborate with educators, administrators, and policymakers to turn insights into actionable strategies.

What kind of education do you need to be an education data scientist?

Education data scientists typically hold at least a bachelor's degree in fields such as data science, statistics, computer science, or education research. Many roles prefer or require a master's degree or higher, along with skills in programming languages like Python or R, data analysis, and familiarity with educational data systems.
What are popular job titles related to Education Data Scientist jobs in Riverside, CA? For Education Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Education Data Scientist jobs in Riverside, CA look for? The top searched job categories for Education Data Scientist jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Education Data Scientist jobs? Cities near Riverside, CA with the most Education Data Scientist job openings:
Education Data Scientist jobs near you

Sr. Data Scientist

Skyworks

Irvine, CA • On-site

$114K - $220K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

Job description

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition ID: 77724 

Description

Skyworks Solutions is seeking a Machine Learning and Data Engineer to join our rapidly growing AI/ML team in Irvine, CA. This is a highly technical, hands-on role designed for individuals who thrive at the intersection of cutting-edge machine learning, data engineering, and semiconductor innovation. If you’re looking to apply your ML expertise to high-impact, real-world engineering challenges in the analog and RF domain, this is your opportunity.

Skyworks is an innovator of high-performance analog semiconductors enabling next-generation wireless communications. From 5G to IoT to automotive, our technologies are helping to connect the world. At Skyworks, you’ll find a fast-paced environment with a flat organizational structure and global collaboration. We value open communication, creativity, mutual respect, and technical excellence.

Responsibilities

As a Machine Learning and Data Engineer on the Data Analytics and AI Enablement team, you will lead and contribute to projects that apply advanced ML and deep learning to a variety of use cases across the company—including design automation, yield prediction, anomaly detection, signal classification, and device modeling. You will collaborate with world-class engineers across electrical, RF, product, and manufacturing domains to deliver real business impact through data and AI.

  • Predictive analytics for yield and quality improvement
  • Optimization of circuit or device parameters
  • RF signal modeling and anomaly detection
  • Root-cause analysis across test and manufacturing data
  • Own the end-to-end ML pipeline: data acquisition, feature engineering, model selection, training, evaluation, deployment, and monitoring.
  • Collaborate with cross-functional stakeholders including design engineers, process experts, and product owners to understand problem statements and translate them into ML solutions.
  • Work on both research-oriented prototypes and production-grade deployments.
  • Stay up-to-date with current trends in ML, especially those relevant to semiconductor, signal processing, or high-dimensional time-series data
Required Experience and Skills
  • BS and 8 years experience (Ph.D. preferred) in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
  • Strong theoretical and practical experience in machine learning and deep learning, including CNNs, transformers, time-series models, or probabilistic methods.
  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn.
  • Solid understanding of statistics, optimization, and model evaluation techniques.
  • Excellent communication and collaboration skills, with the ability to work across disciplines and teams.
Desired Experience and Skills
  • Exposure to semiconductor, electronics, or RF system domains (e.g., basic understanding of circuit behavior, test data, signal integrity).
  • Experience working with large, complex datasets (e.g., sensor, waveform, or EDA simulation outputs).
  • Familiarity with data infrastructure and workflow orchestration (e.g., Airflow, MLflow, or cloud platforms).
  • Contributions to peer-reviewed research, patents, or open-source ML projects.

The typical base pay range for this role across the U.S. is currently USD $114,400 - $220,200 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance. 

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.

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About Skyworks

Sourced by ZipRecruiter

We are empowering the wireless networking revolution, connecting people, places and things around the world. As the demand for ubiquitous, “always-on” connectivity increasingly expands, our innovative, high performance analog semiconductors are enabling breakthrough communication platforms from global industry leaders – changing the way we live, work, play and learn. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

Industry

Construction

Company size

201 - 500 Employees

Headquarters location

Buffalo, NY, US

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