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Senior Environmental Data Scientist Jobs in Riverside, CA

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Job Title: Sr. Data Scientist Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote) Contract Type: Contract to Hire Project Overview: The Sr. ...

omega solutions, Inc.

Sr. Data Scientist

Santa Ana, CA · On-site

Sr. Data Scientist Santa Ana, CA 6 months : What is the specific title of the position? Senior Data Scientist What Project/Projects will the candidate be working on while on assignment? 1) Field Team ...

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 ...

iHerb

Pricing Data Scientist

Irvine, CA · On-site

$175 - $198/hr

... that influence senior leaders. Success in This Role * Sound judgment and bias toward action ... production analytics or ML environment (e.g., Databricks, scheduled pipelines, or ...

Hanchey

Senior Environmental Consultant

Irvine, CA · On-site

The Senior Environmental Consultant for the Environmental Engineering Practice will support the ... Interprets scientific data. Evaluates hypotheses and development of conclusions and recommendations ...

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

Support senior leadership in strategic decision-making through advanced data-driven insights * Stay ... Experience working with classified government data or in a defense-related environment

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 ...

AbbVie

Senior Safety Data Scientist

Irvine, CA

Prepares summaries of key safety data for PST, SRB, senior management, Advisory and other similar ... Degree in a Health Sciences (e.g., Pharmacy, Epidemiology, Nursing); o Bachelors + 2 years clinical ...

New

iHerb, LLC

Pricing Data Scientist

Irvine, CA · On-site +1

... that influence senior leaders. The ideal candidate combines strong quantitative skills with ... environment (e.g., Databricks, scheduled pipelines, or decision-support workflows) Knowledge ...

iHerb.com

Pricing Data Scientist

Irvine, CA · On-site +1

... that influence senior leaders. The ideal candidate combines strong quantitative skills with ... environment (e.g., Databricks, scheduled pipelines, or decision-support workflows) Knowledge ...

Panasonic

Data Scientist IV

Irvine, CA · On-site

Ability to deploy ML models to production environment. * Able to take ambiguous data and turn it ... Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related ...

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Showing results 1-20

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

Senior Environmental Data Scientist information

See Riverside, CA salary details

$43.3K

$148.6K

$209.7K

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

As of Aug 28, 2026, the average yearly pay for senior environmental data scientist in Riverside, CA is $148,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $173,700.00 per year, depending on experience, location, and employer.

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

AspectSenior Environmental Data ScientistEnvironmental Data Analyst
Required CredentialsAdvanced degree (Master's/PhD) in environmental science, data science, or related fieldBachelor's or Master's in environmental science, data analysis, or related field
Work EnvironmentResearch institutions, large corporations, government agenciesConsulting firms, government agencies, environmental organizations
Employer & Industry UsageUsed in roles requiring complex modeling, predictive analytics, and strategic decision-makingFocused on data collection, reporting, and basic analysis tasks

The main difference between a Senior Environmental Data Scientist and an Environmental Data Analyst lies in the complexity of tasks and required experience. Senior Data Scientists handle advanced modeling, predictive analytics, and strategic insights, often requiring higher credentials. Data Analysts typically focus on data reporting and basic analysis. Both roles are vital in environmental sectors but differ in scope and expertise level.

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 Senior Environmental Data Scientist jobs in Riverside, CA?

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

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

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

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

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

Senior Environmental Data Scientist jobs near you
Infographic showing various Senior Environmental Data Scientist job openings in Riverside, CA as of June 2026, with employment types broken down into 38% Full Time, 55% Part Time, 2% Temporary, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $148,624 per year, or $71.5 per hour.

Senior Data Scientist

Hireblazer

Irvine, CA • On-site

Full-time

Re-posted 6 days ago

Job description

Job Title: Sr. Data Scientist

Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote)

Contract Type: Contract to Hire

Project Overview:

The Sr. Data Scientist will join the Personalization Data Science and Machine Learning team to focus on solving recommendations, ranking, user condition predictions, and search problems. This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ensuring engineering excellence with solid production releases. The team utilizes state-of-the-art machine learning and strives for low-latency solutions.

Top Responsibilities:

Apply advanced statistical and predictive modeling techniques to optimize healthcare and digital experiences.

Propose innovative solutions using data mining, statistical analysis, and machine learning.

Support business needs related to analytics, predictive modeling, and business intelligence.

Collaborate effectively with internal clients to translate their needs into data science use cases.

Provide ongoing tracking and monitoring of model performance and recommend improvements to methods and algorithms.

Required Qualifications:

Bachelor's Degree (Minimum Education Requirement).

Strong hands-on skills in Data Analytics and ML-Ops.

Ability to turn state-of-the-art research into production-level code.

Experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.

Proficiency in Python, TensorFlow, PyTorch, and/or PySpark.

Ability to translate business needs and requirements into technical solutions.

Solid analytical and problem-solving skills.

Preferred Qualifications:

Master's or Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields.

Experience developing and deploying models related to recommender systems, NLP, and time series forecasting.

Experience developing algorithms for search engines (e.g., name entity recognition, intent classification, spell correction, auto-completion), cold-start recommendation, and semi-supervised learning (e.g., positive unlabeled learning).