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Overnight Environmental Data Scientist Jobs in Riverside, CA

Skyworks

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

Sr. Data Scientist Posting Start Date: 6/3/26 Job Location(s): Irvine If you are looking for a ... At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration ...

Skyworks

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration ... Requisition ID: 77724 Description Skyworks Solutions is seeking a Machine Learning and Data ...

Edwards Lifesciences

Staff Data Scientist

Irvine, CA · On-site

$126 - $178/hr

... environment for our team members. It is our driving force to help patients live longer and ... As a Staff Data Scientist, you design the modeling and evaluation approaches that others build on ...

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All JobsEnvironmental Data Scientist JobsOvernight Environmental Data Scientist JobsOvernight Environmental Data Scientist Jobs in Riverside, CA

Overnight Environmental Data Scientist information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do overnight environmental data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for overnight environmental data scientist in Riverside, CA is $128,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 per year, depending on experience, location, and employer.

What does an overnight environmental data scientist do?

An Overnight Environmental Data Scientist is responsible for analyzing environmental data, such as air quality, water quality, and weather patterns, during overnight hours to ensure timely reporting and response. They use statistical methods, programming, and specialized software to process large datasets collected from sensors and other monitoring devices. Their work helps organizations and agencies make data-driven decisions about environmental policies, compliance, and emergency responses. Overnight shifts are often required to provide continuous data monitoring and immediate analysis in case of environmental incidents.

What are some unique challenges faced by overnight environmental data scientists, and how can they be managed?

Overnight Environmental Data Scientists often work outside typical business hours, which can pose challenges such as limited real-time collaboration with day-shift colleagues and adjusting to an atypical sleep schedule. Managing these challenges involves strong communication skills, effective handover processes, and utilizing collaboration tools to ensure continuity across shifts. Additionally, overnight roles may involve real-time monitoring of environmental data streams and responding quickly to anomalies, making it important to stay alert and maintain a proactive approach to data quality and reporting.

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

To excel as an Overnight Environmental Data Scientist, you need strong analytical skills, proficiency in environmental science concepts, and a degree in a relevant field such as environmental science, data science, or statistics. Familiarity with programming languages like Python or R, GIS software, and experience with data visualization and analysis tools are typically required, along with certifications such as Certified Data Scientist or GIS Professional. Excellent problem-solving, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with remote or cross-functional teams. These skills are essential for accurately monitoring environmental trends, supporting real-time decision-making, and ensuring data-driven insights are delivered efficiently—especially during overnight shifts when independent work is critical.

What is the difference between Overnight Environmental Data Scientist vs Environmental Data Analyst?

AspectOvernight Environmental Data ScientistEnvironmental Data Analyst
CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; proficiency in programming and statistical toolsBachelor's or Master's in Environmental Science, Data Analysis, or related fields; strong analytical skills
Work EnvironmentTypically in research labs, field sites, or data centers, often during overnight shiftsOffice settings, fieldwork, or remote analysis during regular hours
Employer & Industry UsageEnvironmental agencies, research institutions, and consulting firmsGovernment agencies, environmental consultancies, and private firms

The main difference is that Overnight Environmental Data Scientists focus on advanced data modeling and analysis during overnight shifts, often requiring programming skills and scientific expertise. Environmental Data Analysts typically handle data interpretation during regular hours, focusing on reporting and basic analysis. Both roles are vital in environmental sectors but differ mainly in scope, work hours, and technical depth.

What are the most commonly searched types of Environmental Data Scientist jobs in Riverside, CA?

The most popular types of Environmental Data Scientist jobs in Riverside, CA are:

What are popular job titles related to Overnight Environmental Data Scientist jobs in Riverside, CA?

For Overnight Environmental Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Overnight Environmental Data Scientist jobs in Riverside, CA look for?

The top searched job categories for Overnight Environmental Data Scientist jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Overnight Environmental Data Scientist jobs?

Cities near Riverside, CA with the most Overnight Environmental Data Scientist job openings:

Overnight Environmental Data Scientist jobs near you
Infographic showing various Overnight Environmental Data Scientist job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,049 per year, or $61.6 per hour.

Sr. Data Scientist

Skyworks

Irvine, CA • On-site

$114K - $220K/yr

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago

Job description

Sr. Data Scientist
Posting Start Date: 6/3/26
Job Location(s): Irvine
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
Job Description:
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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