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Manager Nvidia Data Scientist Jobs in Nevada (NOW HIRING)

Staff Data Scientist

Carson City, NV · On-site

$180 - $260/hr

Highlighting experience in mentoring teams, managing complex data challenges, and collaborating ... Data Science Methodologies * Mentoring Data Scientists * Collaboration Across Teams ATS ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

New

Develop and maintain data solutions that support reporting, business intelligence, data science ... Lead and manage offshore teams of developers, analysts, engineers, and administrators to support ...

Develop and maintain data solutions that support reporting, business intelligence, data science ... Lead and manage offshore teams of developers, analysts, engineers, and administrators to support ...

Data Science Tutor

Las Vegas, NV · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Henderson, NV · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

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Showing results 1-20

Manager Nvidia Data Scientist information

What is the difference between Manager Nvidia Data Scientist vs Data Scientist?

AspectManager Nvidia Data ScientistData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; often requires leadership experienceBachelor's/Master's in CS, Statistics, or related; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsAnalyzes data, develops models, reports findings
Employer & IndustryTech companies, AI/ML firms, hardware manufacturers like NvidiaVarious industries including tech, finance, healthcare, research

The main difference is that a Manager Nvidia Data Scientist oversees data science teams and projects, requiring leadership skills, while a Data Scientist focuses on technical data analysis and modeling. The manager role involves strategic planning and team management, whereas the data scientist role emphasizes technical expertise and data analysis.

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

The most popular types of Nvidia Data Scientist jobs in Nevada are:

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

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

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

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

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Cities in Nevada with the most Manager Nvidia Data Scientist job openings:

Full-time

Posted 22 days ago


Caesars Entertainment rating

6.4

Company rating: 6.4 out of 10

Based on 255 frontline employees who took The Breakroom Quiz

108th 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

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