Qualifications

• Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.
• At least 3 years of professional experience in data science, with deep expertise in machine learning and statistical modeling.
• Strong proficiency in Python, with experience in data manipulation and visualization tools.
• Experience deploying models into production environments and working closely with engineering partners.
• Ability to analyze complex problems and deliver solutions in a fast-paced environment.
• Strong communication skills to explain technical concepts to diverse audiences.
• Experience developing personalization algorithms for content delivery or user-facing platforms.

Responsibilities

• Lead end-to-end data science initiatives from problem definition to deployment and monitoring.
• Design and implement models and algorithms to tackle business challenges and improve user engagement.
• Collaborate with Engineering, Product, and Analytics teams for seamless integration of data science solutions into production.
• Drive innovation in personalized game recommendations and optimize content layout through experimentation.
• Translate technical findings into actionable insights for stakeholders.
• Deploy and maintain production-grade Python software.
• Mentor junior data scientists and promote best practices within the team.

Benefits

• Opportunity to shape user experiences for millions in the sports and iGaming sectors.
• Engagement in high-impact initiatives that define personalization in entertainment.
• Collaboration with cross-functional teams in a technology-driven environment.
• Potential for career growth through mentorship and skill development.
• Participation in projects that leverage cutting-edge machine learning and data science techniques.