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Remote Data Scientist Machine Learning Jobs in Hesperia, CA

Zorts Sports

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 ...

Alimentiv

Statistician

Ontario, CA · Remote

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

Veristat

Senior Project Manager

Ontario, CA · Remote

... 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 ...

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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 22, 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.

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 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.

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:

Remote Data Scientist Machine Learning jobs near you

Software Engineer

Zorts Sports

Claremont, CA • Remote

$100K - $125K/yr

Full-time

Re-posted 6 days ago

Job description

Software Engineer


Flash Biometrics | Hybrid/Remote – Claremont, CA
Salary Range: $100,000–$125,000


About Flash Biometrics


Flash Biometrics is transforming event admissions with fast, secure, and accessible facial recognition technology. Our Flash Facial Recognition (FFR) platform enhances safety, reduces fraud, and improves the overall experience for youth sports tournaments and large-scale events.


In just six months, we earned the trust of over 1 million users by prioritizing user experience, data security, and operational efficiency. We are now entering a significant growth phase, expanding FFR into new markets and use cases.


The Role


We are seeking a Software Engineer to help design, build, and scale the next generation of our FFR platform. This is a hybrid/remote position based in Claremont, CA.


You’ll work alongside a collaborative product and engineering team to:


  • Architect and develop new systems that expand FFR into new industries
  • Build scalable, secure backend services and integrations
  • Maintain and improve existing systems to ensure performance and reliability
  • Collaborate across product, operations, and client-facing teams
  • Contribute to technical decisions that shape our long-term architecture


This is not a “clock-in, clock-out” role. We are looking for someone who takes ownership, moves with urgency, and thrives in an environment where expectations are high and impact is real.


What We’re Looking For


Core Qualifications

  • 1+ year of professional (non-internship) software development experience
  • Strong foundation in computer science fundamentals, algorithms, and data structures
  • Experience with object-oriented programming principles
  • Proficiency working with relational databases
  • Familiarity with version control systems and modern development workflows
  • Bachelor’s degree in Computer Science, Software Engineering, or related field


What Sets You Apart

  • You hold yourself to a high standard of execution
  • You’re comfortable operating in a fast-paced, high-growth environment
  • You’re willing to put in focused, sustained effort when the business demands it
  • You take full ownership of your work — from idea to deployment
  • You think in systems and understand how components scale together
  • You design with the end user in mind


We value intensity, accountability, and resilience. Building category-defining technology requires commitment — and we’re looking for someone who wants to grow alongside the company as we scale.


Why Join Flash Biometrics?


  • Work on technology that directly improves safety and operational efficiency
  • Join at a pivotal stage of expansion
  • Influence architecture and product direction
  • Competitive salary and growth opportunity


If you’re driven, technically sharp, and excited to build something meaningful at scale, we’d love to talk.