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Virtual Environmental Scientist Jobs in Riverside, CA

Blu Omega LLC

Sr. Scientist

March Air Reserve Base, CA · On-site

$140 - $160/hr

Telehealth and virtual care options available through medical plans * Paid Time Off (PTO) and ... Our teams are experienced operating within federal contracting environments, supporting task orders ...

New

Vega ECM Solutions

IT Support Technician

Irvine, CA · Hybrid

$23 - $31.75/hr

Our infrastructure is cutting edge, leveraging ever changing virtual environments to satisfy the ... science or a related field, with at least three years of relevant work experience. Job Skills ...

Vega Ecm Solutions

IT Support Technician

Irvine, CA · On-site

$23 - $31.75/hr

Our infrastructure is cutting edge, leveraging ever changing virtual environments to satisfy the ... science or a related field, with at least three years of relevant work experience. Job Skills ...

Howmet Aerospace

EHS Manager

Brea, CA

$140K - $170K/yr

Bachelor's degree in Environmental Science, Occupational Health & Safety, Engineering, or related ... Plan and conduct regular on-site and virtual EHS audits and inspections. * Identify hazards, assess ...

Cystems Logic

Senior Systems Administrator

Irvine, CA · On-site

$92K - $125K/yr

Optimize the virtual environment for performance, high availability, and scalability. Manage and ... General Qualifications Bachelor's degree in Computer Science, Information Systems, or a related ...

CTC Global

IT System Administrator

Irvine, CA · On-site

$96K - $118K/yr

Virtual environments (VMware / Hyper-V) * Cloud services (Azure / M365) * Manage system performance ... Bachelor's degree in Computer Science, Information Systems, or equivalent experience Certifications ...

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All JobsEnvironmental Scientist JobsVirtual Environmental Scientist JobsVirtual Environmental Scientist Jobs in Riverside, CA

Virtual Environmental Scientist information

See Riverside, CA salary details

$42.8K

$87.8K

$128.3K

How much do virtual environmental scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for virtual environmental scientist in Riverside, CA is $87,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $102,800.00 per year, depending on experience, location, and employer.

What is a virtual environmental scientist?

A Virtual Environmental Scientist works remotely to assess and analyze environmental data, conduct research, and provide recommendations for sustainability and compliance. They may use digital tools, GIS mapping, and remote sensing to evaluate environmental impacts. Their role often involves collaborating with teams, preparing reports, and advising businesses or government agencies on environmental best practices. This position allows professionals to work from anywhere while contributing to environmental conservation and policy development.

What does a virtual environmental scientist do?

As a Virtual Environmental Scientist, your day often includes analyzing environmental data, preparing technical reports, and conducting virtual meetings with project teams or clients. You’ll use remote sensing tools and geographic information systems (GIS) to assess environmental impacts or monitor ongoing projects from your home office. Collaboration is often done via digital communication platforms, and you may participate in remote site assessments or data reviews. Flexibility, time management, and proactive communication are key to success in balancing multiple virtual projects and meeting client deadlines.

What skills and qualifications are needed to be a virtual environmental scientist?

A Virtual Environmental Scientist typically possesses a degree in environmental science or a related field, solid analytical skills, and experience with data collection and interpretation. Familiarity with GIS software, remote sensing tools, and environmental modeling platforms, along with certifications such as GISP or HAZWOPER, is highly valued. Strong written communication, critical thinking, and self-motivation are essential soft skills for this remote role. These skills enable accurate analysis, effective collaboration, and impactful solutions to real-world environmental challenges, even when working virtually.

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

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

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

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

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

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

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

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

Virtual Environmental Scientist jobs near you
Infographic showing various Virtual Environmental Scientist job openings in Riverside, CA as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $87,763 per year, or $42.2 per hour.

Data Scientist - Business Analytics & ML

Kia America

Irvine, CA • On-site

Full-time

Re-posted 2 days ago

Kia rating

6.3

Company rating: 6.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

41st of 45 rated automakers

Job description

Job Summary:
Kia America is creating award-winning products and redefining value in the automotive industry. The Data Scientist plays a crucial role in executing data analysis to drive business improvements and insights using statistics, machine learning, and computer science.
Responsibilities:
• Assess the accuracy of new data sources
• Understand business processes and decision frameworks, and translate them into data-driven metrics and KPIs.
• Preprocess structured and unstructured data
• Analyze large amounts of data to discover trends and patterns
• Build prediction and classification models
• Coordinate with different functional teams for feature engineering
• Partner with business stakeholders to frame problems, define success metrics, and translate business questions into analytical approaches
• Test and continuously improve the accuracy of statistical and machine learning models
• Present insights in a way that clearly ties analysis to business decisions and actions
• Frame and communicate complex analyses in business-relevant terms that non-technical stakeholders can understand and act on
• Continuously monitor and validate production analysis results
• Build REST APIs for data and analysis result consumption
• Assist the IT system developers to deploy analysis as a service
• Use git within GitLab
• Create virtual environments to isolate project dependencies and requirements
• Track model performance and hyperparameter configurations
• Track data versioning
Qualifications:
Required:
• Bachelor’s degree in a quantitative field required (e.g., Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, Business Analytics, or related field)
• Strong data analysis and statistical foundations required.
• Proficiency in Python and SQL required.
• Familiarity with applied machine learning concepts required.
• Strong business acumen and ability to coordinate between technical teams and non-technical business stakeholders.
• Experience querying databases and using programming languages such as Python and SQL
• Experience using statistics and machine learning algorithms
• Experience with big data processing frameworks such as Spark (e.g., PySpark); experience with Hadoop ecosystem or cloud platforms (e.g., Databricks, AWS) preferred
• Experience publishing results to stakeholders through dashboards (e.g. Power BI, MicroStrategy, Tableau)
• Proficiency in Python and SQL
• Knowledge of a variety of machine learning techniques, deep learning a plus
• Knowledge of advanced statistical techniques
• Experience with common Python libraries for data analysis such as Pandas and NumPy
• Experience with visualization libraries such as Matplotlib, Seaborn, Plotly, Bokeh and plotnine
• Experience developing and evaluating statistical and machine learning models using libraries such as statsmodels and scikit-learn
• Experience with big data processing tools such as Spark (e.g., PySpark); experience with Hadoop ecosystem or cloud platforms preferred
• Strong data-driven problem-solving skills
• Excellent written and verbal communication skills to coordinate across teams
Preferred:
• Master’s degree in a quantitative field preferred
• 3+ years of experience in data science preferred.
• Experience with deep learning frameworks such as PyTorch and TensorFlow preferred
Company:
Kia America is headquartered in Irvine, California and is a subsidiary of Kia Corporation. Founded in 2017, the company is headquartered in Anantapur, IND, with a team of 501-1000 employees. The company is currently Late Stage.

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