Full-Time

Director – Data Science

Posted on 12/13/2025

BetMGM

BetMGM

Compensation Overview

$190k - $230k/yr

+ Bonus for performance-based plan

Jackson Township, NJ, USA + 4 more

More locations: Waterbury, CT, USA | Virginia, USA | New York, NY, USA | Michigan, USA

Remote

Category
Data & Analytics (2)
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Requirements
  • Master’s degree in Data Science, Computer Science, Economics, Mathematics, or a related field
  • 10+ years of experience in data analytics, with at least 5 years in a leadership role
  • Experience in the online gaming industry
  • Strong expertise in ML modeling, predictive analytics, segmentation, and recommender systems
  • Proven experience aligning data strategy with executive-level business priorities and operational goals
  • Experience with Python, SQL, Spark, Snowflake, and ML infrastructure tools like MLflow and SageMaker
  • Experience with statistical modeling, A/B testing, and customer segmentation techniques
  • Experience implementing and overseeing ML platforms and building unified data products across multiple domains
  • Familiarity with online gaming platforms, trading systems, and marketing technologies
  • Strategic thinker with the ability to balance short-term results with long-term goals
  • Excellent communicator with the ability to translate complex technical concepts into clear, actionable strategies for stakeholders at all levels
  • Collaborative team player who excels in cross-functional environments
  • Demonstrated success in coaching and developing high-performing data science teams
Responsibilities
  • Lead and scale high-performing data scientists, cultivating a culture of innovation, experimentation, and continuous learning
  • Develop and execute multi-year data science strategies aligned with enterprise goals across marketing, product, finance, and operations
  • Partner with Executive Leadership to drive data-first decision-making through predictive modeling, advanced analytics, and AI/ML initiatives
  • Drive innovation by helping implement scalable infrastructure and ML platforms (e.g., Snowflake, etc.) that support real-time model deployment
  • Deliver business impact by building and refining ML models focused on player experience and business need
  • Collaborate with analytics squads and business stakeholders to prioritize projects, manage roadmaps, and measure outcomes
  • Mentor and develop data science talent, implementing training programs to build future leaders
  • Ensure operational excellence by optimizing model training costs, compute efficiency, and technical stack architecture

Company Size

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Company Stage

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Total Funding

N/A

Headquarters

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Founded

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INACTIVE