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Data Science Analyst Jobs in Nevada (NOW HIRING)

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

Data Analyst The data analyst will be responsible for importing, transforming, validating and ... Successful Candidate's Attributes: o Bachelor's degree in Computer Science, Information Technology ...

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

Data Analyst The data analyst will be responsible for importing, transforming, validating and ... Successful Candidate's Attributes: o Bachelor's degree in Computer Science, Information Technology ...

Sr Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

... analytics and future AI/ML initiatives. Responsibilities : • Design, build, and maintain real ... Required : • Bachelor's degree required in Computer Science, Data Science, Engineering ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Showing results 21-40

Data Science Analyst information

See Nevada salary details

$34.6K

$84.2K

$138.5K

How much do data science analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science analyst in Nevada is $84,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,800.00 per year, depending on experience, location, and employer.

What is a data science analyst?

Data Science Analysts are professionals who collect, process, and analyze large sets of data to uncover trends, patterns, and insights that help organizations make informed decisions. They use statistical methods, programming languages like Python or R, and data visualization tools to interpret data. Their work often supports business strategy, product development, or operational improvements by turning complex data into actionable information.

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

To thrive as a Data Science Analyst, you need a solid background in statistics, data analysis, and programming—often supported by a degree in a quantitative field. Familiarity with tools and languages such as Python, R, SQL, and data visualization software, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, is important. Strong problem-solving skills, curiosity, and the ability to communicate complex findings clearly help you stand out in this role. These skills enable effective data-driven decision-making and bridge the gap between technical analysis and business strategy.

What are some common challenges data science analysts face when working with cross-functional teams?

Data Science Analysts often collaborate with professionals from engineering, product, and business teams, which can present communication challenges due to varying levels of technical understanding. Translating complex analytical findings into actionable business insights requires strong communication skills and adaptability. Additionally, aligning data-driven recommendations with business objectives and timelines may require negotiation and flexibility to ensure project success.

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

AspectData Science AnalystData Analyst
Required SkillsStatistical analysis, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work EnvironmentData-driven projects, predictive modeling, advanced analyticsReporting, data cleaning, descriptive analysis
Common IndustriesTech, finance, healthcare, e-commerce

Data Science Analysts focus on predictive modeling and advanced analytics using programming and machine learning, while Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential in data-driven organizations, but Data Science Analysts typically require stronger technical skills and work on more complex projects.

What are the most commonly searched types of Data Science Analyst jobs in Nevada?

The most popular types of Data Science Analyst jobs in Nevada are:

Infographic showing various Data Science Analyst 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 $84,153 per year, or $40.5 per hour.

Posted 1 day ago Las Vegas, USA On-site MGM Resorts International Sr Data Scientist Commercial [...]

Experimentation Jobs

Las Vegas, NV • On-site

$120 - $190/hr

Other

Posted 6 days ago


Job description

Why Here?

MGM Resorts International delivers world-class entertainment and hospitality experiences across its portfolio of iconic properties. The Commercial Data Science team drives a multi-year 1:1 personalization initiative that redefines guest engagement through advanced AI and machine learning. This team collaborates closely with Commercial Strategy, Customer Engagement, Loyalty, Creative, Product, and Engineering to deliver measurable business impact.

What Will You Do?

As a Sr Data Scientist Commercial Analytics - Corporate at MGM Resorts International, you will develop and deploy predictive models that power personalization strategies across marketing and commercial functions. You will design and execute A/B tests while building frameworks that optimize corporate KPIs through rigorous experimentation. Additionally, you will collaborate with cross-functional teams to translate complex data insights into actionable recommendations that enhance customer experiences and drive revenue growth.

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