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.

Data Scientist

Gotfriends

תל אביב - יפו

Data Scientist

Gotfriends

תל אביב - יפו
היברידית
25,000-35,000 ₪ (הערכה מבוססת AI)
זוהי הערכת טווח שכר מבוססת AI ולא פרסום של המעסיק

A highly profitable and rapidly growing Israeli Mobile Gaming company that develops In-House gaming products from end-to-end. The organization is led by veteran technology entrepreneurs and features an elite R&D team.

One of the company’s flagship products has achieved top global rankings in the App Store, serving hundreds of thousands of concurrent active users.

The company is currently expanding its portfolio, focusing on data-driven game economies and personalized player experiences at a massive scale.

Located in Central Tel Aviv (prime access to public transport), the company operates a hybrid work model.

Role Overview:

Joining a core Data Science team with direct influence on the gaming experience for millions of global players.
Developing and deploying end-to-end Machine Learning models into high-scale production environments.
Building predictive models such as Propensity Modeling, Survival Analysis (TTE), and user behavior simulations.
Analyzing large-scale tabular data to derive actionable insights for game optimization and economic balance.
Utilizing advanced statistical modeling, Causal Inference, and A/B testing to drive product decisions.
Working with a modern stack including Python, SQL, and deep learning frameworks.

Requirements:

4+ years of professional experience as a Data Scientist – Mandatory.
Significant, hands-on experience in developing and deploying Machine Learning and Deep Learning models – Mandatory.
Strong proficiency in Python and SQL – Mandatory.
Experience with large-scale tabular data and statistical modeling.
B.Sc. in a scientific/technical field (Computer Science, Mathematics, Physics, or similar) – Mandatory.
Background in Game Economy, Optimization, or Simulation – A significant advantage.
Ability to work in a fast-paced environment and translate complex data into operational products.