Personalization Strategist
2 days ago
About Penn Interactive
Penn Interactive is an interactive gaming company headquartered in Philadelphia, dedicated to creating immersive experiences that are responsible, innovative, and fun. We're passionate about building a talented team of individuals who love what they do.
We're seeking a highly skilled Personalization Strategist - ESPN Bet to join our team and drive significant impact on user engagement and satisfaction through personalized solutions.
About the Role
- Serve as a technical leader within the team, fostering a collaborative and innovative environment.
- Partner with stakeholders to deeply identify business problems that can be solved through impactful personalization initiatives.
- Utilize your mastery of recommender systems, two-tower models, and other advanced personalization techniques to architect, build, and deploy high-impact solutions that strategically advance the ESPN Bet and theScore product strategies.
- 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 guarantee 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.
- Confidently present your solutions and strategic recommendations to diverse audiences, including senior leadership, using compelling narratives, insightful data visualizations, and a deep understanding of business implications to influence critical decision-making.
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 (with a focus on recommendation engines)
- 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 and ability to incorporate their expertise into the end-state solution
- Demonstrated ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience
- Proven ability to communicate complex topics clearly and effectively to audiences of varying technical levels both in written and oral settings
- 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: $175,000 - $215,000 per year, depending on experience and qualifications.
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