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Junior Computer Scientist Jobs in Nevada (NOW HIRING)

Data Insight Partners

Jr. Data Analyst

Las Vegas, NV · On-site +1

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Junior Computer Scientist information

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$51.4K

$113.4K

$140K

How much do junior computer scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for junior computer scientist in Nevada is $113,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $139,500.00 per year, depending on experience, location, and employer.

What does a junior computer scientist do?

A Junior Computer Scientist typically assists in the development, testing, and maintenance of software and computer systems. They work under the supervision of more experienced computer scientists or engineers, contributing to research, coding, troubleshooting, and documentation tasks. Their work may involve data analysis, writing algorithms, and collaborating with teams to solve technical problems. This role is ideal for recent graduates or those early in their careers, as it provides valuable experience and opportunities to learn new technologies.

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

To thrive as a Junior Computer Scientist, you need a solid background in computer science fundamentals, programming languages (such as Python, Java, or C++), and typically a relevant bachelor's degree. Familiarity with version control systems like Git, basic algorithms, and possibly experience with software development tools or cloud platforms is often required. Strong analytical thinking, problem-solving ability, and effective communication skills help you collaborate and adapt in team-based environments. These skills and qualities are crucial for contributing to projects, learning quickly, and building a foundation for career growth in technology.

What types of projects and team collaborations can a junior computer scientist expect in their first year?

As a Junior Computer Scientist, you will typically work on a variety of projects ranging from software development to data analysis, often supporting more senior team members. You'll likely be assigned tasks such as coding, debugging, and testing, while collaborating closely with cross-functional teams including software engineers, data scientists, and project managers. Expect to participate in regular team meetings, code reviews, and brainstorming sessions, which help you learn industry best practices and develop your problem-solving skills. This collaborative environment provides valuable opportunities to grow your technical expertise and build professional relationships.

What are the most commonly searched types of Computer Scientist jobs in Nevada?

The most popular types of Computer Scientist jobs in Nevada are:

What are popular job titles related to Junior Computer Scientist jobs in Nevada?

For Junior Computer Scientist jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Junior Computer Scientist jobs in Nevada look for?

The top searched job categories for Junior Computer Scientist jobs in Nevada are:

What cities in Nevada are hiring for Junior Computer Scientist jobs?

Cities in Nevada with the most Junior Computer Scientist job openings:

Junior Computer Scientist jobs near you
Infographic showing various Junior Computer Scientist job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $113,381 per year, or $54.5 per hour.

Senior Data Scientist

Las Vegas, NV • On-site

Ceasars Entertainment
Hospitality Services • 10K+ employees
Learn more about Ceasars Entertainmentexternal

Full-time

Re-posted 6 days ago

Key responsibilities

  • Design and refine statistical and machine learning models to predict outcome probabilities and set accurate prices across sports betting markets

  • Extract and engineer features from live feeds, ensuring data quality and integrity, and track model behavior through KPIs for recalibration

  • Collaborate with Trading, Product, and Engineering teams to translate business goals into model requirements and deploy models in production

Caesars Entertainment rating

6.4

Company rating: 6.4 out of 10

Based on 256 frontline employees who took The Breakroom Quiz

Job description

Join our Sportsbook team as a Senior Data Scientist responsible for end-to-end model development-designing, deploying, and refining predictive and pricing models that power our real-time odds, trading decisions, and risk management.

At Caesars Digital, We Don't Just Play the Game - We Set the Standard.

As a proud part of Caesars Entertainment, the world's premier gaming company with more than 80 years of sports betting leadership, Caesars Digital is Blazing The Trail in digital innovation, customer experience and industry excellence.

We believe every Team Member should be treated like royalty because We Are All Caesars. This guiding principle fuels our commitment to delivering legendary service and creating unforgettable experiences for our customers.

From cutting-edge digital platforms including Caesars Sportsbook, Caesars Palace Online, Horseshoe Online Casino and Caesars Racebook, to the continuing expansion of our retail footprint and our William Hill legacy, along with powerhouse partnerships across sports and entertainment, we're building something extraordinary. And we want you to be part of it.

Ready to make your mark on the Empire?

Explore our open roles and discover how you can help shape the future of gaming.

Join us. Blaze the Trail. Because at Caesars Digital, We Are All Caesars.

Qualifications

  • Degree in Statistics, Mathematics, Computer Science, Data Science, or similar.
  • 5+ years in data science or ML with at least 2+ years focused on sportsbook, gaming, or financial trading models.
  • Deep knowledge of probability, statistical methods, and advanced ML techniques.
  • Proficient in Python (NumPy, pandas, scikit-learn, etc). 
  • Experience with automated model deployment and testing frameworks. 
  • Strong SQL and data pipeline understanding
  • Understanding of betting mechanics-odds formulation, overround, liability, in-play dynamics.
  • Excellent problem-solving, communication, and collaboration skills. Proven track record of influencing product/trading decisions.

Nice to Have

  • Avid sports fan
  • Prior roles at leading sportsbooks
  • Experience building sports models
  • Experience programming in Go
  • Experience Sports Betting

Key Responsibilities

  • Design and refine statistical and machine learning models to predict outcome probabilities and set accurate prices across a wide range of sports betting markets
  • Extract and engineer features from live feeds (e.g., player stats, team form, weather, betting flow), ensuring data quality and integrity. 
  • Continuously track model behavior through KPIs-P&L, hold, liability, and recalibrate based on findings
  • Work closely with Trading, Product, and Engineering teams to translate business goals into model requirements and ensure successful rollouts. 
  • Stay up-to-date with sports analytics, statistical methods, and advanced machine learning; evaluate new methods to keep our models best-in-class. 
  • Guide junior data scientists in model design, experiments, and best practices. 
  • Collaborate with engineering to deploy models in production via APIs or model engines, implementing automated testing for accuracy, performance benchmarking, and drift monitoring. 
  • Translate model insights into clear recommendations for trading strategies, risk limits, and event-level pricing decisions. 
  • Ability to uphold and demonstrate the highest level of integrity in all situations and recognize standards required by a regulated business

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