עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
18,000-30,000 ₪
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.
- 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.
Requirements:
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.
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.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
תל אביב - יפו
ערב
3 חודשים
אונליין
סבסוד
