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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

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

PythonSQL

Location requirements

RemoteCanada

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