Senior Data Scientist

4 days ago


Philadelphia, Pennsylvania, United States Penn Interactive Full time

About Penn Interactive

Penn Interactive, an innovative digital gaming company, is looking for talented professionals to join our team. As a leader in the interactive gaming industry, we strive to challenge the norms and push the boundaries of what's possible.

We're seeking a highly skilled Senior Data Scientist - Sports Betting to join our team and drive significant impact on user engagement and satisfaction through personalized solutions.

About the Role

  • Lead technical projects with cross-functional teams, fostering a collaborative and innovative environment.
  • Partner with stakeholders to deeply identify business problems that can be solved through impactful personalization initiatives.
  • Develop and deploy sophisticated models using advanced personalization techniques such as recommender systems and two-tower models.
  • Take full ownership of critical components within data science projects, defining the roadmap and leading cross-functional teams.
  • Collaborate with Data Engineers and Machine Learning Engineers to ensure seamless integration, deployment, and production readiness.
  • Contribute to the ongoing evolution of our data science infrastructure and champion best practices.
  • Drive innovation by staying at the forefront of data science and machine learning trends.
  • Present solutions and strategic recommendations to diverse audiences, including senior leadership, using compelling narratives and insightful data visualizations.

About You

  • 7+ years of industry experience (Data Scientist, ML Engineer, Tech Lead, etc.)
  • University degree in Computer Science, Mathematics, Statistics or related field
  • Strong track record of designing, prototyping, scaling, and deploying data science products to solve complex business challenges
  • Expert coding skills in general-purpose languages like Python, and familiarity with robust software engineering principles
  • Deep understanding of Machine Learning lifecycle, best practices, algorithms, and domains
  • Fundamental understanding of data engineering practices around creation of data pipelines, processing data, and storing data using technologies such as Spark
  • Experience collaborating with and understanding the needs of stakeholders from various business domains
  • Demonstrated ability to take a product-oriented mindset and develop solutions considering the user experience
  • Proven ability to communicate complex topics clearly and effectively to audiences of varying technical levels
  • Experience with automation & orchestration tools such as Airflow, Dagster, DBT or Cron jobs
  • Knowledge of the sports betting industry is preferred but not mandatory

Salary: $185,000 - $225,000 per year, depending on experience and qualifications.



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