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Live In Igaming Jobs (NOW HIRING)

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Live In Igaming information

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$916

$4.7K

$6.1K

How much do live in igaming jobs pay per month?

As of May 30, 2026, the average monthly pay for live in igaming in the United States is $4,722.17, according to ZipRecruiter salary data. Most workers in this role earn between $2,166.67 and $6,000.00 per month, depending on experience, location, and employer.

What is the difference between Live In Igaming vs Live Dealer?

AspectLive In IgamingLive Dealer
CredentialsCustomer service, gaming knowledgeCasino dealer certification, gaming experience
Work EnvironmentOnline platform, remote or on-siteCasino studio or live gaming floor
Industry UsageOnline gaming companies, igaming platformsLand-based and online casinos
Job FocusManaging online gaming operations, customer supportDealing cards, interacting with players in real-time

Live In Igaming roles typically involve managing online gaming platforms and providing customer support remotely or on-site, while Live Dealer positions focus on real-time interaction with players as a casino dealer. Both roles require gaming knowledge but differ in environment and job functions.

More about Live In Igaming jobs
What cities are hiring for Live In Igaming jobs? Cities with the most Live In Igaming job openings:
What are the most commonly searched types of Igaming jobs? The most popular types of Igaming jobs are:
What states have the most Live In Igaming jobs? States with the most job openings for Live In Igaming jobs include:
Infographic showing various Live In Igaming job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 40% In-person, and 60% Remote job distribution, with an average salary of $56,666 per year, or $27.2 per hour.

$117K - $167K/yr

Other

Posted 8 days ago


Job description

About the Team

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

We are seeking a Data Scientist III to join our growing Data Science organization on our newly formed Decision Science team. The role reports into the Decision Science Manager and will focus on creating insight to drive the growth of the business, partnering closely with senior commercial stakeholders and their teams. Supporting commercial and analytics stakeholders with high level Sportsbook & Casino strategy will be a top priority for this Data Scientist, as well as providing ongoing analysis and recommendations to stakeholders. 

Responsibilities

  • Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior.
  • Build strong relationships with stakeholders across both Sports and Casino business units, serving as a key technical contributor to driving total commercial performance.
  • Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems.
  • Contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite.
  • Build and maintain sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency.
  • Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry.

Experience and Skills

  • A minimum of 3-5 years proven experience in a data science or advanced analytics role.
  • Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer Science, Economics.
  • Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models.
  • Strong understanding of statistics concepts such as regression, clustering, and A/B testing in high-growth environments.
  • Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling to determine true incremental value.
  • Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and clear communication.
  • Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments.

Preferred but not required

  • Experience experimenting with Generative AI solutions (e.g., LLM-based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment.
  • Previous experience in iGaming (Sportsbook or Casino), or previous experience with Customer Lifetime Value models is a significant plus.

Salary range is listed in USD; ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. *Salary Range: $117,000 to $167,000 (Salary range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual Offer is confirmed). In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.