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Remote Data Scientist Jobs in Rialto, CA (NOW HIRING)

Senior ML Engineer

Anaheim, CA · On-site +1

$109K - $150K/yr

Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the ... Familiarity with RLHF or preference training is a bonus 📍 Location This is a remote-first role.

Participate in client meetings and perform site visits for data gathering as required * Interpret ... Knowledge of the practical application of engineering science and technology, including the ability ...

Salary: 100k - 125k Annual Software Engineer Flash Biometrics | Hybrid/Remote Claremont, CA Salary ... Strong foundation in computer science fundamentals, algorithms, and data structures * Experience ...

IT Systems Administrator

Anaheim, CA · Remote

$80K - $120K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_HYBRID Description SAIC is hiring for a Systems Administrator ...

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Identifies the necessity of ... Collects data and analyzes information to make decisions regarding certification or denial of ...

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Remote Data Scientist information

See Rialto, CA salary details

$37.6K

$123.1K

$197K

How much do remote data scientist jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote data scientist in Rialto, CA is $123,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $136,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

Can a data scientist work remotely?

Yes, many data scientists work remotely, especially as the role often involves analyzing data, programming, and using tools like Python, R, and cloud platforms that can be accessed from anywhere. Remote work options depend on the employer's policies and the specific job requirements, but it is increasingly common in the data science field.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

How can I make 2000 a week working from home?

A remote data scientist can earn $2,000 or more per week by working on high-demand projects, consulting, or freelance assignments that pay premium rates. Building a strong portfolio, developing skills in machine learning and data analysis tools, and establishing a reliable client base are essential for achieving this income level remotely.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

How can I make $100,000 a year working from home?

A remote data scientist can earn $100,000 or more annually by gaining advanced skills in machine learning, data analysis, and programming languages like Python or R, along with relevant certifications. Building a strong portfolio, gaining experience, and working for companies that offer remote roles with competitive salaries are key strategies to reach this income level.
What are popular job titles related to Remote Data Scientist jobs in Rialto, CA? For Remote Data Scientist jobs in Rialto, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Rialto, CA look for? The top searched job categories for Remote Data Scientist jobs in Rialto, CA are:
What cities near Rialto, CA are hiring for Remote Data Scientist jobs? Cities near Rialto, CA with the most Remote Data Scientist job openings:
Imagery Product Engineer II - Imagery and Remote Sensing

Imagery Product Engineer II - Imagery and Remote Sensing

Esri

Redlands, CA • On-site, Remote

$79K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Esri rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

6th of 205 rated software companies


Job description

Overview
Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. The Imagery and Remote Sensing team is applying cutting-edge techniques to revolutionize Imagery visualization and Analysis. We are passionate about applying imagery science and artificial intelligence to solve some of the world's biggest challenges.
Our team develops tools, APIs, and AI models for Analysts and Data Scientists, enabling them to leverage the latest research in imagery science, remote sensing, and AI. Our product engineers provide a strong technical voice in the product development process and use the best tools available to build highly reliable, sustained, and evolutionary software.
As a Product Engineer, you will play a key role in ensuring the quality and usability of our imagery and remote sensing tools, models, and libraries. You will design and implement test plans, write test code, and validate software, SDKs, and AI models to help deliver robust, high-quality products to our customers. This will also include performing, documenting, and teaching a wide variety of technical tasks, developing best practices, creating tutorials and documentation, and gathering requirements. If you are passionate about imagery and remote sensing and communicate effectively via writing and presentations, this is the place to be!
Responsibilities
  • Develop and implement test plans for new features and bug fixes to maintain product quality
  • Review and analyze test results; report status on software quality and stability; test and certify software, SDK, and AI model quality
  • Work closely with account managers and software developers to understand customer requirements and help formulate appropriate Imagery and Remote Sensing solutions for various industry scenarios
  • Collaborate with software developers on software project teams to help build new software and plan for future releases
  • Help test new Imagery processing and analysis user experiences, workflows, and analytics using customer data
  • Help develop the future roadmap for Imagery and Remote Sensing support in all relevant ArcGIS products
  • Support technology demonstrations for industry events
  • Act as a technical point of contact for industry business partners and integrators to ensure Esri interoperability

Requirements
  • 2+ years of industry experience in a software development or QA environment, preferably product-based or geospatial consulting companies
  • Strong understanding of image analysis and remote sensing techniques
  • Hands-on experience in QA processes, implementing test plans, developing or managing test automation, and product certification
  • Familiarity with GIS concepts, spatial data, and geospatial workflows
  • Basic understanding of machine learning, deep learning, and AI Prompt Engineering
  • Effective project management, time management, and organizational skills
  • Technical writing skills and experience authoring samples, blog posts, and product documentation
  • Bachelor's degree in GIS, geography, engineering, computer science, math, or related fields

Recommended Qualifications
  • Master's degree in GIS, geography, engineering, computer science, math, or related fields
  • Strong knowledge of software QA methodologies, tools, and processes
  • Experience working in an Agile/Scrum development process
  • Hands-on experience with the ArcGIS suite of products or open-source GIS software
  • Experience with remote sensing, satellite imagery, and multispectral image analysis
  • Experience designing modern desktop user experiences

#LI-TA1
#LI-Onsite
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$79,664-$133,120 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

What Esri employees say

Pay

Benefits

Hours and flexibility

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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