ZipRecruiter

Log In

1

Computer Science Jobs in Nevada (NOW HIRING)

CCSD

Computer Technician I - Mannion MS

Henderson, NV · On-site

$16.50 - $22/hr

OR , Two (2) years of college with major area of study in information technology (IT) related technologies such as Management Information systems (MIS), computer science (CS), etc.; and , one (1) ...

US Department of the Navy

SCIENCE ADVISOR

Fallon, NV

$105K/yr

... Computer Science. In order to qualify for this position, your resume must provide sufficient experience, knowledge, skills, and abilities to perform the duties of the specific position for which you ...

CCSD

Computer Technician I - Sandy Valley ES

Goodsprings, NV · On-site

$17.25 - $22.75/hr

OR , Two (2) years of college with major area of study in information technology (IT) related technologies such as Management Information systems (MIS), computer science (CS), etc.; and , one (1) ...

Mission Support and Test Services, LLC

Scientist I

NV · On-site

Bachelor's degree from an accredited college or university in physical science or in a biological science with a minimum of 20 semester hours in physical science preferred. * 0-2 years relevant ...

next page

Showing results 1-20

All JobsComputer Science JobsComputer Science Jobs in Nevada

Computer Science information

See Nevada salary details

$57.5K

$84.6K

$99.8K

How much do computer science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for computer science in Nevada is $84,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,900.00 and $95,200.00 per year, depending on experience, location, and employer.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

What careers do computer science have?

Computer science graduates can pursue careers such as software developers, systems analysts, cybersecurity specialists, data scientists, and network administrators. These roles often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases and operating systems.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What kind of jobs are there in computer science?

Computer science offers a variety of jobs including software developer, systems analyst, cybersecurity analyst, data scientist, network administrator, and database administrator. These roles often require skills in programming languages, problem-solving, and knowledge of tools like operating systems and development environments.

What can I do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and problem-solving, often requiring knowledge of programming languages, databases, and operating systems.

What Are Computer Science Jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a Computer Science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What jobs can I do with computer science?

With a degree in computer science, you can pursue roles such as software developer, systems analyst, cybersecurity analyst, data scientist, network administrator, and database administrator. These jobs often require knowledge of programming languages, problem-solving skills, and familiarity with tools like Linux, Python, or SQL.
More about Computer Science jobs
What are the most commonly searched types of Computer Science jobs in Nevada? The most popular types of Computer Science jobs in Nevada are:
What are popular job titles related to Computer Science jobs in Nevada? For Computer Science jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Computer Science jobs in Nevada look for? The top searched job categories for Computer Science jobs in Nevada are:
What cities in Nevada are hiring for Computer Science jobs? Cities in Nevada with the most Computer Science job openings:
Computer Science jobs near you
Data Scientist II - Computer Vision

Data Scientist II - Computer Vision

Socure

Carson City, NV

Full-time

Posted 8 days ago

Job description

Why Socure?

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

About the Role

We are seeking a Data Scientist II with strong experience in computer vision and deep learning to join our document verification team. This role is intended for an experienced individual contributor who can work independently on production ML models, own well-scoped modeling initiatives, and contribute to technical decision-making—while partnering closely with senior data scientists and engineers. You will help build and improve ML systems that analyze identity and document images at scale and play an active role in evolving our modeling approaches and infrastructure.

What You\'ll Do

  • Develop, maintain, and improve machine learning models for document verification use cases such as document classification, image quality assessment, field extraction, and fraud detection.

  • Independently implement and evaluate deep learning architectures, including CNNs and transformer-based vision or multimodal models..

  • Own well-defined components of end-to-end ML pipelines, including data preparation, model training, evaluation, and deployment to production.

  • Perform in-depth error analysis, model diagnostics, and performance optimization, and propose data- or model-driven improvements.

  • Contribute to technical design discussions, code reviews, and modeling best practices across the team.

  • Write production-quality, maintainable code and contribute to shared ML tooling and infrastructure.

  • Collaborate with engineering and product partners to ensure models meet product, performance, and reliability requirements.

What You Bring

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience, with 5 years or equivalent of professional experience in machine learning or data science. MS or Ph.D is a plus.

  • Strong proficiency in Python and hands-on experience with ML frameworks such as PyTorch or TensorFlow.

  • Solid experience applying deep learning models (especially CNNs) in real-world computer vision systems, with working knowledge of transformer-based approaches.

  • Strong understanding of model evaluation, experimentation, and ML fundamentals, including overfitting, regularization, and transfer learning.

  • Experience with version control (Git), experiment tracking, and reproducible ML workflows.

  • Ability to communicate technical ideas clearly and work effectively in a cross-functional team.

Please note, we are unable to provide employer support for H1, F1, or OPT visas now or in the future.

Applicants must be based out of a Socure Talent Hub: San Francisco, NYC, Seattle, Miami, or DC.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

Follow Us!

YouTube | LinkedIn | X (Twitter) | Facebook

Apply