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Computer Science Data Science Jobs in Nevada (NOW HIRING)

Sr Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

Required : • Bachelor's degree required in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or a related field • 5+ years of hands-on experience as a ...

Sr Data Engineer

Las Vegas, NV · On-site

$97K - $131K/yr

Bachelor's degree required in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or a related field * Candidates with fewer years of experience may be ...

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Computer Science Data Science information

See Nevada salary details

$38.2K

$125K

$200.1K

How much do computer science data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for computer science data science in Nevada is $124,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $138,500.00 per year, depending on experience, location, and employer.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing algorithms, and using tools like Python or R. The main difference is that a data scientist often focuses more on statistical analysis and data visualization, while a computer science data scientist may have a stronger background in software development and machine learning. Skills in programming, data manipulation, and understanding of algorithms are essential for both positions.

Is a computer science data science degree good for data science?

A computer science data science degree provides a strong foundation in programming, algorithms, and data analysis, which are essential skills for data science roles. It often includes coursework in machine learning, statistics, and data management, making it well-suited for entry-level and advanced data science positions. Practical experience with tools like Python, R, and SQL can further enhance job prospects in the field.

What are popular job titles related to Computer Science Data Science jobs in Nevada?

For Computer Science Data Science jobs in Nevada, the most frequently searched job titles are:

What cities in Nevada are hiring for Computer Science Data Science jobs?

Cities in Nevada with the most Computer Science Data Science job openings:

Infographic showing various Computer Science Data Science job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,985 per year, or $60.1 per hour.

Data Scientist Level lll

MB Solutions Inc

Indian Springs, NV • On-site

Full-time

Dental, Retirement

Re-posted 7 days ago


Job description

Job Overview
We are seeking a highly skilled and innovative Data Scientist Level III to join our dynamic analytics team. In this role, you will leverage your extensive expertise in machine learning, data mining, and big data technologies to develop advanced models that drive strategic decision-making. You will work on complex datasets, utilize cutting-edge AI frameworks, and deploy scalable solutions that impact various business units. Your passion for uncovering insights and translating data into actionable intelligence will help shape the future of our organization's data-driven initiatives.

Requirements

  • Must be a US Citizen
  • Must have a favorable Tier 1 (T1) security investigation
  • Must Minimum of Bachelor's degree in computer science, operations research, or a comparable field
  • Minimum of 5 years of experience in professional software algorithm development and/or database management and visualization.
  • Experience with software development lifecycle and use of associated tools.
  • Proficient in Python, R, Matlab, Lua, or other data science[1]centric programming language.
  • Mathematical knowledge of optimization, multi-variate calculus, probability & statistics, linear algebra, and numerical methods.
  • Knowledge of supervised and unsupervised machine learning concepts, such as Artificial Neural Networks, SVMs, Random Forests, Gaussian Processes, and other techniques.
  • Knowledge of common data visualization technologies, such as matplotlib, bokeh, d3, or matlab.
  • Willingness to learn new skills and technologies and exit "comfort zone".
  • Good organization, decision making, and verbal and written communication skills.
  • High level of self-initiative and self-motivation with the ability to work under minimal supervision.
  • Ability to work effectively in small team settings to solve complex problems

Benefits:

  • 401(k)
  • Dental insurance
  • Retirement plan
  • Tuition reimbursement

Work Location: In person