Data Scientist developing machine - learning models for The Athletic’s sports media platform. Optimizing subscriptions, workflows, experiments, and personalized article recommendations.
About the role
- Senior Data Scientist Engineer developing analytical models for customer engagement and retention at DraftKings. Collaborating with teams to influence product decisions in sports and entertainment industry.
Responsibilities
- Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment.
- Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Casino product engagement.
- Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems.
- Mentor junior data scientists and share modeling and engineering best practices across the team.
- Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy.
Requirements
- Bachelor's degree or advanced degree in Data Science, Computer Science, Statistics, or related discipline.
- Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts.
- Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms.
- Ability to independently structure and execute data science projects and deliver business value through production-ready models.
- Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
Benefits
- Remote work opportunities
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