Staff Data Scientist

Summary

Join theScore's Analytics & Data Science team as a Staff Data Scientist specializing in Personalization. You will design and implement personalization strategies to enhance user engagement and satisfaction for ESPN Bet. Leverage your expertise in recommender systems and two-tower models to build and deploy high-impact solutions. Collaborate with Data Engineers and Machine Learning Engineers for seamless integration. Present solutions to senior leadership and drive innovation in data science. The ideal candidate has 7+ years of experience, a relevant university degree, and strong coding skills in Python. Remote work is possible.

Requirements

• Ideally 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 the 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 a variety of 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

Responsibilities

• 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
• Other duties as required

Preferred Qualifications

Knowledge of the sports betting industry is preferred, but not mandatory

Benefits

#LI-REMOTE