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Data Science Degree Jobs in Nevada (NOW HIRING)

Staff Data Scientist

Carson City, NV · On-site

$180 - $260/hr

D. in Computer Science, Machine Learning, Statistics, Mathematics, Data Science, or a related ... Master's Degree * Ph.D. Industry Keywords * Fraud Detection * Identity Verification * Cybersecurity

New

Lead AI and Data Science Engineer II

Las Vegas, NV · On-site

$97K - $128K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ... Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ...

Senior Data Engineer

Las Vegas, NV · On-site

$120K - $150K/yr

Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.

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 ...

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Data Science Degree information

See Nevada salary details

$38.2K

$125K

$200.1K

How much do data science degree jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data science degree 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.

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

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

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

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

Infographic showing various Data Science Degree job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $124,985 per year, or $60.1 per hour.

Vice President, Data Science

Aristocrat Technologies, Inc.

Las Vegas, NV • On-site

$189K - $351K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Aristocrat Technologies rating

6.3

Company rating: 6.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

182nd of 224 rated it services


Job description

At Aristocrat, we are passionate about bringing happiness to life through the power of play. As a world leader in gaming content and technology, we strive to build outstanding experiences for our customers and players. The Vice President, Data Science defines and delivers Aristocrat's enterprise Data Science strategy and builds a Data Science organization that delivers business impact through machine learning, statistical modeling, advanced analytics, and AI. As a member of the Enterprise Data & Analytics leadership team, this role partners with senior business and technology leaders to shape strategy, accelerate innovation, and enable data-driven decision making across the enterprise.
What You'll Do
  • Define and implement the enterprise Data Science strategy, roadmap, and operating model.
  • Serve as the executive advisor on Data Science strategy, investments, risks, and emerging opportunities.
  • Partner with executive leaders to identify, prioritize, and scale Data Science, machine learning, and AI opportunities that solve business problems, improve decision making, and create measurable business value and competitive advantage.
  • Evaluate emerging Data Science, AI, and machine learning technologies, tools, and techniques, and establish a roadmap for adoption where they provide relevant business value.
  • Lead, develop and grow a high-performing organization through multiple levels of leadership, including Directors, Managers, Data Scientists, and Machine Learning Engineers.
  • Establish enterprise standards, governance, and operating principles for machine learning, statistical modeling, experimentation, optimization, decision science, and responsible AI.
  • Define the enterprise strategy and architecture for model lifecycle management, including model development, deployment, monitoring, governance, and continuous improvement.
  • Collaborate with Architecture, Data Governance, Platform Engineering, and Analytics teams to ensure scalable and balanced delivery of Data Science capabilities.
  • Drive enterprise adoption of advanced analytics and machine learning solutions that improve business outcomes and decision making.
  • Establish frameworks to measure adoption, business impact, and value realization of Data Science investments.
  • Shape an organization known for technical excellence, innovation, accountability, and continuous learning.

What We're Looking For
  • 15+ years of progressive leadership experience in Data Science, Machine Learning, AI, Advanced Analytics, Statistical Modeling, or related quantitative disciplines.
  • Deep familiarity with gaming, digital product, media, or entertainment businesses preferred.
  • Experience leading enterprise Data Science organizations through Directors, Managers, and senior technical leaders.
  • Proven success building and scaling Data Science capabilities that enable production machine learning, AI, and advanced analytics solutions.
  • Experience defining enterprise Data Science operating models, governance frameworks, and model lifecycle practices that support the scalable adoption of advanced analytics, machine learning, and AI.
  • Experience evaluating emerging Data Science, AI, and machine learning technologies and converting innovation opportunities into practical business capabilities.
  • Outstanding executive communication, partner influence, and organizational leadership skills, able to build strong partnerships across business and technology functions.
  • Master's degree or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field preferred; equivalent experience will also be considered.

Why Aristocrat?
Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We're a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.
We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V
  • World Leader in Gaming Entertainment
  • Robust benefits package
  • Global career opportunities

Our Values
  • All about the Player
  • Talent Unleashed
  • Collective Brilliance
  • Good Business Good Citizen

Travel Expectations
Up to 25%
Pay Range
$189,000 - $351,000 per year
Our goal is to pay a market competitive salary focusing near the median of our pay ranges. However, final offers for all positions will be based on several factors such as experience level, education, skills, work location, and internal pay equity.
This position offers a comprehensive benefits package, including health, dental, and vision insurance, paid time off, and a 401(k) plan with employer matching, more details available at https://atibenefits.com/.
Additional Information
At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

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