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Remote Data Science Jobs in Nevada (NOW HIRING)

Center for Social Dynamics

Fully Remote BCBA

Tonopah, NV · On-site +1

$80K - $95K/yr

... data-driven clinical programs • Strong, supported clinical teams • Families who trust the care ... through science, compassion, and a whole lot of heart. From our very first session to each ...

Center for Social Dynamics

Fully Remote BCBA

Tonopah, NV · Remote

$80K - $95K/yr

... data-driven clinical programs Strong, supported clinical teams Families who trust the care provided ... through science, compassion, and a whole lot of heart. From our very first session to each ...

Norstella

Sales Director

Carson City, NV · Remote

Remote, United States Date Posted: Apr 23, 2026 Employment Type: Full Time Job ID: R-1754 Description About Norstella: Norstella is a premier and critical global life sciences data and AI solutions ...

Deloitte

GCP Engineer

Las Vegas, NV · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... Develop and support cloud-based data pipelines, platform components, and environment setup ...

Motional

Staff Machine Learning Engineer

Las Vegas, NV · On-site +1

Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery ... What We're Looking For (Must-Haves): * BS in Computer Science, Machine Learning, or a related field ...

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Remote Data Science information

See Nevada salary details

$24.8K

$110.5K

$210.9K

How much do remote data science jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data science in Nevada is $110,531.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,094.00 and $153,309.00 per year, depending on experience, location, and employer.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Nevada? The most popular types of Data Science jobs in Nevada are:
What are popular job titles related to Remote Data Science jobs in Nevada? For Remote Data Science jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Nevada look for? The top searched job categories for Remote Data Science jobs in Nevada are:
What cities in Nevada are hiring for Remote Data Science jobs? Cities in Nevada with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Nevada as of May 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 58% Physical, 2% Hybrid, and 40% Remote job distribution, with an average salary of $110,531 per year, or $53.1 per hour.
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Las Vegas, NV • On-site, Remote

Other

Posted 17 days ago

Job description

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:

  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply