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Director, Data Science

Insight Global

Las Vegas, NVJobSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Las Vegas, NV
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Master's degree

Job overview

Insight Global is seeking a Director of Data Science for a casino customer in Las Vegas. The director will lead enterprise analytics, AI, and machine learning strategy and execution, oversee Data Scientists and ML Engineers, and partner with executive stakeholders across business units. The role will shape initiatives in forecasting, personalization, agentic AI, and conversational analytics, while establishing data science, MLOps, and model deployment practices.

Skills & qualifications

RequiredNice to have

Skills

Data Science ManagementHospitality/Casino GamingTeam LeadershipDatabricksGoogle Cloud PlatformForecastingPredictive ModelingMachine LearningExecutive CommunicationAnalytics StrategyStakeholder ManagementCross-Functional LeadershipMLOpsSemantic LayersConversational AnalyticsEnterprise AI StrategyAgentic AI

Qualifications

Master's Degree

Full job description

Job Description

Insight Global is seeking a Director of Data Science for a casino customer in Las Vegas. The Director will lead the strategy, roadmap, and execution of advanced analytics, AI, and machine learning initiatives across the enterprise. This leader will oversee a team of Data Scientists and ML Engineers while partnering with executive stakeholders across CRM, hotel operations, finance, labor, and other business units to drive predictive analytics, forecasting, personalization, and emerging AI capabilities. The role will be instrumental in shaping AI vision, including agentic AI and "talk to your data" initiatives.

  • Build upon, define, and execute the enterprise Data Science roadmap
  • Play an integral role in defining and executing the Agentic AI roadmap alongside executive peers
  • Lead a team of Data Scientists and ML Engineers
  • Drive demand forecasting, predictive modeling, and advanced analytics initiatives
  • Migrate existing models into modern ML/AI frameworks
  • Partner with business leaders to identify and prioritize use cases
  • Serve as a strategic liaison for Databricks-related initiatives
  • Establish best practices around data science, MLOps, and model deployment
  • Influence AI and analytics strategy through 2027 and beyond

Skills and Requirements

  • Management experience within Data Science, Machine Learning, or Advanced Analytics
  • Hospitality/casino gaming experience strongly preferred
  • Experience leading Data Scientists and/or ML Engineers
  • Strong hands-on knowledge of Databricks
  • Experience with Google Cloud Platform (GCP)
  • Experience building forecasting, predictive modeling, and machine learning solutions
  • Ability to communicate with executives while maintaining technical credibility
  • Experience developing analytics strategy and roadmaps
  • Strong stakeholder management and cross-functional leadership skills
  • Master's degree
  • Experience with MLOps practices
  • Experience implementing semantic layers, conversational analytics, or "talk to your data" solutions
  • Experience leading enterprise AI strategy or agentic AI initiatives

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

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