Data Scientist

Key job responsibilities
- Experimentation at scale: Design, execute, and analyze A/B tests, from short-cycle learning experiments to full product launches across worldwide marketplaces.
- Measurement & metrics: Build frameworks to measure content discovery quality, search recall, recommendation relevance, and broadcast experience, including novel methodologies for live, time-sensitive content.
- Sports analytics: Deep-dive into customer behavior around live events: engagement patterns, affinity segmentation, broadcast quality, and tentpole event dynamics.
- Product partnership: Partner with Applied Scientists, Engineers, and Product Managers to define requirements, evaluate models, and drive data-informed decisions.
- Analytical leadership: Own data structures, metrics definitions, and best practices. Communicate findings clearly to technical and business stakeholders.
- Shape a growing domain: Help define the data science roadmap as we expand into new areas of live sports.

דרישות:

Basic Qualifications
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions.
- Bachelor's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field.
- Experience in A/B testing.
- Strong proficiency with SQL.

Preferred Qualifications
- Experience in a ML or data scientist role with a large technology company.
- Statistical modeling and causal inference methods.
- Python for data analysis and machine learning.
- Distributed data technologies (e.g., Redshift, SparkSQL, Athena).
- Familiarity with recommendation systems, search, or streaming.
- Interest in sports and live entertainment. המשרה מיועדת לנשים ולגברים כאחד.