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Amazon Data Science Jobs in Riverside, CA (NOW HIRING)

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ... Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are ...

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ... Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are ...

Sr Software Development Engineer, FireTV

Irvine, CA · On-site

$131K - $173K/yr

We leverage the latest technology in client-app frameworks, big data, machine learning ... any Amazon device platform. BASIC QUALIFICATIONS - Bachelor's degree in computer science or ...

Sr. Reg Automation Eng

Jurupa Valley, CA · On-site

$105K - $138K/yr

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... You will deliver this through the use of statistics and data analytics, structured problem solving ...

AI Architect

Irvine, CA · On-site

$67.50 - $87/hr

... team of data scientists, ML engineers, and AI specialists to drive innovation and delivery ... such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, including their AI/ML ...

Be hands-on in execution with design, data science, and engineering, shipping through ... Amazon Employee Discount Pursuant to the San Francisco Fair Chance Ordinance, we will consider for ...

Partner with Data Science, Community Health, and engineering teams to maintain CT's data sources ... Amazon Employee Discount Pursuant to the San Francisco Fair Chance Ordinance, we will consider for ...

Showing results 21-40

Amazon Data Science information

See Riverside, CA salary details

$48K

$172.2K

$254K

How much do amazon data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for amazon data science 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 are the key skills and qualifications needed to thrive in the Amazon data science position, and why are they important?

To thrive as an Amazon Data Science professional, you need strong analytical abilities, expertise in statistics and machine learning, and a solid educational background in computer science, mathematics, or a related field. Proficiency in programming languages such as Python or R, familiarity with big data tools like AWS, Spark, or Hadoop, and relevant certifications (e.g., AWS Certified Data Analytics) are often required. Effective communication, business acumen, and collaborative problem-solving set exceptional candidates apart. These skills are crucial for transforming complex data into actionable insights that drive impactful business decisions at Amazon.

What types of projects and challenges can I expect as an Amazon data science team member?

As an Amazon Data Science team member, you can expect to work on projects ranging from optimizing supply chains and recommendation systems to improving customer experiences and forecasting demand. Daily responsibilities often involve analyzing large data sets, building predictive models, and collaborating closely with product managers, software engineers, and business leaders. The pace is fast, with opportunities to tackle complex problems that have a direct impact on Amazon’s customers and operations. You’ll also have the chance to grow your skills through cross-team projects, participation in internal workshops, and exposure to emerging data science technologies.

Does Amazon have data science jobs?

Yes, Amazon offers data science jobs across various teams, focusing on areas such as machine learning, data analysis, and predictive modeling. These roles typically require skills in programming, statistics, and tools like Python, R, or SQL, and often involve working in collaborative, fast-paced environments. Candidates should review Amazon's careers page for current openings and specific role requirements.

What is an Amazon data science?

An Amazon Data Science job involves leveraging data to drive business decisions, optimize operations, and enhance customer experiences. Data scientists at Amazon work with machine learning, statistical modeling, and big data technologies to analyze vast datasets and generate actionable insights. They collaborate with engineering, product, and business teams to develop data-driven solutions for challenges such as recommendation systems, demand forecasting, and fraud detection. Strong programming skills in Python or Scala, expertise in SQL, and experience with AWS tools are commonly required.

What job categories do people searching Amazon Data Science jobs in Riverside, CA look for? The top searched job categories for Amazon Data Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Amazon Data Science jobs? Cities near Riverside, CA with the most Amazon Data Science job openings:
Infographic showing various Amazon Data Science job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $172,158 per year, or $82.8 per hour.

Technical Consultant - Enterprise Data Engineer (Geospatial Data & Platforms)

Esri

Redlands, CA

Other

Re-posted 14 days ago


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

Overview

Help power mission-critical systems through enterprise data. As a Technical Consultant, Enterprise Data Engineer, you will design and implement scalable geospatial data platforms that support Defense and Intelligence operations.

You will work directly with customers to architect data solutions that integrate, manage, and optimize complex datasets across secure environments. From database design and performance tuning to high availability and data security, your work will ensure that critical geospatial information is delivered reliably to the people who depend on it most.

This role combines enterprise data engineering, geospatial technology, and mission impact, giving you the opportunity to solve complex data challenges in environments where performance, scale, and reliability are essential. 

Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position.

Responsibilities

  • Design and implement robust, scalable, and secure database solutions to support mission-critical applications
  • Collaborate with cross-functional teams during all phases of implementation including requirements, analysis, design, build/configuration, and deployment
  • Configure and maintain database environments, including backup, restore, high-availability, and disaster recovery strategies
  • Monitor and tune database performance using industry-standard tools and methodologies (such as query optimization, indexing strategies)
  • Implement data security measures, access controls, and compliance standards across environments
  • Automate routine database loading, maintenance, and monitoring tasks to improve efficiency
  • Provide technical guidance and best practices for database design, migration, and integration projects

Requirements

  • 5+ years of hands-on experience in database design, administration, and optimization for Oracle, SQL Server, PostgreSQL, or SAP HANA
  • Familiarity with database design principles, data loading techniques, backup and recovery solutions, performance monitoring and tuning, database maintenance, and security
  • Scripting skills in SQL and Python for automation and data workflows
  • Exposure to geospatial concepts such as spatial data types, coordinate systems, and spatial indexing
  • Ability to clearly communicate complex technical concepts to technical peers and non-technical project managers or customers
  • US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
  • Bachelor's degree in computer science, mathematics, GIS, or related STEM field

Recommended Qualifications

  • Experience with ArcGIS Enterprise geodatabases
  • Knowledge of integrating GIS with other enterprise systems
  • CompTIA Security + certification
  • One or more industry-standard IT certifications (such as Esri, Microsoft, Amazon, PostgreSQL, Oracle)
  • Master`s degree in computer science, mathematics, GIS, or related STEM field

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What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969