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Sports Analytics Machine Learning Jobs in Nevada

Credit One Bank

Risk Modeler I

Las Vegas, NV · On-site

$52.75 - $68.50/hr

... machine learning solutions for impactful and dynamic business results. Summary of Essential Job Functions * Perform complex analyses and modeling that maximizes profits or asset growth, and minimizes ...

Pwc

AI & GenAI Data Scientist-Director

Las Vegas, NV · On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

ENNOVARA

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

... analytics and a commitment to learning new tools and data analysis methodologies. o Experience with machine learning techniques (e.g., classification, clustering, tree-based models) is a plus.

ENNOVARA

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

... analytics and a commitment to learning new tools and data analysis methodologies. o Experience with machine learning techniques (e.g., classification, clustering, tree-based models) is a plus.

CreditOne

Lead Artificial Intelligence Engineer

Las Vegas, NV · On-site

$99K - $130K/yr

... bias analysis, and regulatory documentation. * Collaborate with data engineers, risk, and compliance teams. Position Requirements Core AI Concepts and Technologies Required: * Machine Learning ...

Ormat Technologies, Inc.

Geochemist

Reno, NV

Facilitate and maintain field-level geochemical sampling, data management, and analysis, including internal databases, geochemical models, and production trends * Works with other Geochemists on ...

Pwc

CTIO AI Engineering Manager

Las Vegas, NV · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Ormat Technologies, Inc.

Geochemist

Reno, NV

Facilitate and maintain field-level geochemical sampling, data management, and analysis, including internal databases, geochemical models, and production trends. * Works with other Geochemists on ...

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All JobsSports Analytics Machine Learning JobsSports Analytics Machine Learning Jobs in Nevada

Sports Analytics Machine Learning information

What is sports analytics machine learning?

Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.

How do sports analytics machine learning professionals typically collaborate with coaches and athletes to impact game strategy?

Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.

What are the key skills and qualifications needed to thrive as a sports analytics machine learning specialist, and why are they important?

To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.
What are popular job titles related to Sports Analytics Machine Learning jobs in Nevada? For Sports Analytics Machine Learning jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Sports Analytics Machine Learning jobs in Nevada look for? The top searched job categories for Sports Analytics Machine Learning jobs in Nevada are:
What cities in Nevada are hiring for Sports Analytics Machine Learning jobs? Cities in Nevada with the most Sports Analytics Machine Learning job openings:
Sports Analytics Machine Learning jobs near you
Infographic showing various Sports Analytics Machine Learning job openings in Nevada as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution.

Risk Modeler I

Credit One Bank

Las Vegas, NV • On-site

$52.75 - $68.50/hr

Full-time

Posted 17 days ago

Job description

Description

Position Summary

This position is a part of the Risk Management department but supports the entire bank. The Model Development team challenges the status quo through their statistical and machine learning (ML) powered predictive models that cover the entire customer lifecycle including Acquisitions, Underwriting, Fraud, Customer Management, and Collections. As a Risk Modeler, you will be participating End-to-End model development life-cycle for customer acquisition, credit risk and underwriting, adopt applications of ML to enhance next generation solutions, and develop analytical tools to contribute to the strategic direction and financial performance of the organization. The role will be also responsible for developing advanced machine learning frameworks that drive incremental growth in acquisitions. The ideal candidate will have an outstanding track record of successfully implementing machine learning solutions for impactful and dynamic business results.

Summary of Essential Job Functions
  • Perform complex analyses and modeling that maximizes profits or asset growth, and minimizes credit losses or other risk exposures
  • Serve as an expert consultant to senior management on highly complex issues
  • Manage the deployment of new models and the live testing or pilot programs derived from them
  • Monitor ongoing model performance to ensure stability and efficacy
  • Anticipate issues based on knowledge of business trends, and propose direction and solutions
  • Provide peer review for other analysts within the team
  • Research the impacts of business decisions
  • Partner with technology groups to define business requirements
  • Provide analytic support to ensure the company goals are met
  • Perform other duties as assigned
Position Requirements
  • Bachelor’s Degree in STEM (Science, Technology, Engineering, and Mathematics) or related field.
  • Solid experience in using SAS, Enterprise Miner, R, Python, H2O, or similar and its libraries to derive insights in a business setting
  • Intellectual horsepower with problem solving and analytical skills.
  • Knowledge of financial analysis and profitability drivers.
  • Ability to quickly assimilate and analyze large amounts of information.
  • Strong financial analytical skills with the ability to read, interpret, and evaluate, financial time-series tracking reports (including vintage analysis).
Preferred
  • 2+ years of experience gathering data requirements for statistical, econometric, predictive analytics research that drives market research/consumer analytics product innovation and implementation.
  • 2+ years of experience in Financial Services, Credit Card Issuing, and Banking.
  • Exposure in AI tool adoption.
  • Consumer Credit Card industry experience.

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.

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