Sr. Data Scientist

Discover What’s Possible at BetMGM

Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We’re a brand with technology at our hearts and the most driven and focused talent in the business.

As a valued team member, we’re committed to giving you the resources and support you need to thrive. Our benefits and perks include:

• Medical, Dental, Vision, Life, and Disability Insurance

• 401(k) with company match

• Pre-tax spending accounts including health care FSA and commuter savings

• Flexible paid time off

• Professional development reimbursement and ongoing skills training opportunities

• Employee resource groups

• Swag, ticket giveaways, and more!

At BetMGM, we recognize that every individual plays a meaningful role in our success. That’s why we’re committed to building a respectful, inclusive workplace. It’s the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. 

About the Role

We are seeking a Senior Data Scientist to take a leading role in building and deploying machine learning solutions that power personalization and create measurable business impact. This is a highly visible, cross-functional position where you will work closely with product managers, ML engineers, and commercial stakeholders to transform raw data into actionable insights and scalable models. You’ll leverage cutting-edge tools and techniques to segment users, predict behaviors, and optimize experiences across the customer journey.

As a Senior Data Scientist, you will design and deliver advanced analytics projects from exploration and modeling through deployment and measurement of impact. You’ll make technical decisions, lead collaborative problem-solving sessions, and mentor other data scientists as you raise the overall level of technical rigor within the team. This role is perfect for someone who thrives in a fast-moving environment, enjoys turning complexity into clarity, and is motivated by seeing their models drive real-world outcomes.

Responsibilities

• Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units

• Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions

• Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer

• Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making

• Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership

• Stay up to date on the latest advancements in data science and leverage cutting edge technology

• Mentor, brainstorm with, and enable others within the DS team and broader Data organization

Qualifications  

Education and Experience:

• Bachelor’s degree needed in a highly numerate major (Computer Science, Economics, Mathematics, etc.) or a related field

• 5+ years of experience in data science, creating and deploying models

• Strong expertise in ML modeling, predictive analytics, segmentation, and recommender systems.

• Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models

• Experience in experimentation to validate models' impact and ability to quantify that impact  

Technical Expertise:

• 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.

• Can write production level code, understand principles of programming 

Leadership & Soft Skills:<