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Financial Data Scientist Jobs in Nevada (NOW HIRING)

Lnw

Head of Data

Las Vegas, NV · On-site

... science capability that the enterprise AI agenda depends on. This role partners directly with the Executive Leadership Team, business unit leaders, Finance, Operations, and Technology to ensure data ...

Light and Wonder, Inc.

Head of Data

Las Vegas, NV · On-site

... science capability that the enterprise AI agenda depends on. This role partners directly with the Executive Leadership Team, business unit leaders, Finance, Operations, and Technology to ensure data ...

Stryker

Data Science Intern - Remote

Las Vegas, NV

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... Finance What You Need * Currently pursuing a Bachelor's or Master's degree in a related field; must ...

Stryker

Data Science Intern - Remote

Carson City, NV · On-site

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... Finance What You Need * Currently pursuing a Bachelor's or Master's degree in a related field; must ...

Stryker

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... Finance What You Need * Currently pursuing a Bachelor's or Master's degree in a related field; must ...

Stryker

Data Science Intern - Remote

Henderson, NV · On-site

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... Finance What You Need * Currently pursuing a Bachelor's or Master's degree in a related field; must ...

Stryker

Data Science Intern - Remote

Sparks, NV

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... Finance What You Need * Currently pursuing a Bachelor's or Master's degree in a related field; must ...

Stryker

Data Science Intern - Remote

Las Vegas, NV · On-site

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... Finance What You Need * Currently pursuing a Bachelor's or Master's degree in a related field; must ...

Stryker

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... Finance What You Need * Currently pursuing a Bachelor's or Master's degree in a related field; must ...

Stryker

Data Science Intern - Remote

Sparks, NV · On-site

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... Finance What You Need * Currently pursuing a Bachelor's or Master's degree in a related field; must ...

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Financial Data Scientist information

See Nevada salary details

$38.2K

$125K

$200.1K

How much do financial data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for financial data scientist 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 does a financial data scientist do?

A Financial Data Scientist analyzes complex financial data using statistical, machine learning, and computational techniques to identify patterns, forecast trends, and support decision-making within financial institutions. They work with large datasets from sources like market data, customer transactions, and economic indicators to develop predictive models and data-driven strategies. Their work helps organizations manage risk, optimize portfolios, detect fraud, and gain a competitive edge in the financial sector.

What are the key skills and qualifications needed to thrive as a financial data scientist?

To thrive as a Financial Data Scientist, you need strong quantitative skills, proficiency in statistical analysis, and a background in finance or economics, typically supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial databases and tools like Bloomberg Terminal are also important. Critical thinking, problem-solving, and effective communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for building accurate financial models, driving data-driven decision-making, and delivering value in dynamic financial environments.

How does a financial data scientist typically collaborate with other departments within a financial organization?

Financial Data Scientists regularly work alongside cross-functional teams, including risk analysts, portfolio managers, and software engineers. They collaborate to develop predictive models, automate data pipelines, and translate complex data insights into actionable business strategies. Effective communication is key, as they must explain technical findings to stakeholders with varying levels of data literacy. This collaborative environment not only fosters innovation but also offers opportunities to learn from other experts and expand your professional network.

What is the difference between Financial Data Scientist vs Quantitative Analyst?

AspectFinancial Data ScientistQuantitative Analyst
Required CredentialsDegree in Finance, Data Science, or related fields; often certifications like CFA or FRMDegree in Mathematics, Statistics, Finance; CFA or FRM common
Work EnvironmentFinancial institutions, tech firms, investment firms; focus on data modeling and predictive analyticsInvestment banks, hedge funds, asset management; focus on trading strategies and risk modeling
Employer & Industry UsageUsed across finance and tech sectors for data-driven decision makingPrimarily in finance for trading, risk, and portfolio management

Financial Data Scientists analyze large datasets to develop predictive models and insights, often combining finance knowledge with data science skills. Quantitative Analysts focus on developing mathematical models for trading and risk management. While both roles require strong quantitative skills and finance knowledge, Financial Data Scientists tend to work more on data analysis and machine learning, whereas Quantitative Analysts focus on financial modeling and trading strategies.

What are popular job titles related to Financial Data Scientist jobs in Nevada?

For Financial Data Scientist jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Financial Data Scientist jobs in Nevada look for?

The top searched job categories for Financial Data Scientist jobs in Nevada are:

What cities in Nevada are hiring for Financial Data Scientist jobs?

Cities in Nevada with the most Financial Data Scientist job openings:

Financial Data Scientist jobs near you
Infographic showing various Financial Data Scientist 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.

Senior Data Scientist

Ceasars Entertainment

Las Vegas, NV • On-site

Full-time

Re-posted yesterday

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 255 frontline employees who took The Breakroom Quiz

106th of 164 rated casinos

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

What Caesars Entertainment employees say

Pay

Benefits

Hours and flexibility

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