2

Remote Data Scientist Machine Learning Jobs in Hesperia, CA

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123K - $162K/yr

... machine learning components that enhance how users assess, understand, and improve spatial data ... Bachelor's degree in computer science, mathematics, or STEM related field Recommended ...

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

... machine learning components that enhance how users assess, understand, and improve spatial data ... Bachelor's degree in computer science, mathematics, or STEM related field Recommended ...

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to ... Prospects for lifelong learning and professional development. Reasonably affordable benefits and ...

You enjoy taking on new responsibilities and learning new skill sets whenever needed. What you will ... Participate in client meetings and perform site visits for data gathering as required * Interpret ...

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... scientific expertise with cutting-edge technology to deliver high-quality data and insights that ...

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... scientific expertise with cutting-edge technology to deliver high-quality data and insights that ...

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... scientific expertise with cutting-edge technology to deliver high-quality data and insights that ...

Software Engineer

Claremont, CA · Remote

$100K - $125K/yr

Software Engineer Flash Biometrics | Hybrid/Remote - Claremont, CA Salary Range: $100,000-$125,000 ... Strong foundation in computer science fundamentals, algorithms, and data structures * Experience ...

Statistician

Ontario, CA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Responsible for the application of biostatistical methods to support clinical trials and data ... scientific processes and results. Project Support * Provide statistical expertise and guidance ...

Senior Project Manager

Ontario, CA · Remote

  • Medical

  • Life

  • Retirement

... data. * Benefits vary by location and may include: * Remote working * Flexible time off * Paid ... Bachelor's degree in life/health sciences or related discipline, or equivalentrequired. * 5to ...

next page

Showing results 1-20

Remote Data Scientist Machine Learning information

See Hesperia, CA salary details

$37.5K

$122.9K

$196.7K

How much do remote data scientist machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote data scientist machine learning in Hesperia, CA is $122,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $136,200.00 per year, depending on experience, location, and employer.

What does a remote data scientist specializing in machine learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in machine learning?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Hesperia, CA?

The most popular types of Data Scientist Machine Learning jobs in Hesperia, CA are:

What are popular job titles related to Remote Data Scientist Machine Learning jobs in Hesperia, CA?

For Remote Data Scientist Machine Learning jobs in Hesperia, CA, the most frequently searched job titles are:

What cities near Hesperia, CA are hiring for Remote Data Scientist Machine Learning jobs?

Cities near Hesperia, CA with the most Remote Data Scientist Machine Learning job openings:

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 3 days ago


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 244 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

Workplace

Get the full story on Breakroom


ESRI logo

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