דלג לתוכן הראשי

Senior Data Scientist

Logica-ITמחוז תל אביב, ישראללא צויןFull-timeדרגה: לא צוין

פורסם אתמול · 0 מועמדים

שכר לא צוין במשרה זו

שמירה, הגשה או בדיקת התאמה. פתיחת חשבון חינם לוקחת כמה שניות.

תובנת Willbi
חובה
  • 5+ years in ML roles with demonstrated production impact
  • Advanced degree (MS/PhD) in a quantitative field, or equivalent industry depth
  • Deep expertise in mathematical optimization — convex, constrained, and gradient-based methods
  • Hands-on experience with Bayesian or hyperparameter optimization
  • Strong causal inference skills — propensity scoring, uplift modeling, or experimental design

חולץ מתיאור המשרה · מתעדכן אוטומטית

תיאור המשרה המלא

המשרה המקורית · נשמר לעיון

A leading SportsTech company is looking for a Senior Data Scientist to join its growing team.

Our platform combines the intensity of live sports with cutting-edge technology to deliver a personalized experience to millions of users worldwide.

you will be an integral part of our Machine Learning and AI team. The role is hands-on and impact-driven, focusing on building, improving, and delivering machine learning models that directly support business goals.

Responsibilities:

• Design and deploy production ML systems that drive automated business decisions (pricing, bidding, resource allocation)

• Build end-to-end ML pipelines — from data ingestion and model training to serving, monitoring, and incident response

• Translate ambiguous business problems into rigorous mathematical frameworks and own them from conception to production impact

• Conduct rigorous experimentation (A/B testing, causal inference, uplift modeling) to measure and improve model performance

• Maintain and improve real-time models that adapt to incoming data and feedback signals

• Mentor junior team members on ML best practices and production standards

Requirements:

• 5+ years in ML roles with demonstrated production impact

• Advanced degree (MS/PhD) in a quantitative field, or equivalent industry depth

• Deep expertise in mathematical optimization — convex, constrained, and gradient-based methods

• Hands-on experience with Bayesian or hyperparameter optimization

• Strong causal inference skills — propensity scoring, uplift modeling, or experimental design

• Applied ML experience in optimization domains: pricing, bidding, or resource allocation

• Advanced time series modeling for dynamic, decision-making system

• Proven experience deploying and monitoring real-time ML models in production

• Familiarity with experiment tracking, model versioning, and performance monitoring

אודות Logica-IT
פרופיל החברה · בקרוב

ביקורות עובדים · בקרובעוד משרות ב-Logica-IT

שאלות על המשרה

  • המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
דומות וקשורות
Logica-IT
פורסם אתמול · 0 מועמדים
בדקו את ההתאמה