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
We are looking for an experienced and innovative Data Scientist to join our team in Tel Aviv. In this role, you will develop and deploy machine learning models to optimize real-time ad targeting, bidding, and delivery. Youll work closely with cross-functional teams to drive data-driven strategies that enhance campaign performance and revenue growth.
Responsibilities:
Lead the design, development, and deployment of machine learning models to optimize ad targeting, bidding, and delivery in real-time ad tech environments.
Analyze large-scale ad-serving data to uncover actionable insights, improve campaign performance, and drive revenue growth.
Collaborate with cross-functional teams (product, engineering, ad ops and rev ops) to define data-driven strategies for ad server, SSP, and other ad tech products.
Develop algorithms for demand-side and supply-side platform (SSP) optimization, focusing on improving monetization and user experience.
Build predictive models and forecasting tools to enhance audience segmentation, ad placements, and pricing strategies.
Maintain and scale data pipelines, ensuring seamless data integration from various sources to support model training and decision-making.
Apply A/B testing, statistical analysis, and performance metrics to validate and optimize ML models and algorithms.
Work closely with engineering teams to integrate machine learning models into production systems, ensuring real-time processing and scalability.
Mentor junior data scientists and provide technical leadership in implementing machine learning and data science best practices.
Stay current with industry trends and technologies in the ad tech ecosystem, ensuring the team adopts the most effective tools and techniques.
Responsibilities:
Lead the design, development, and deployment of machine learning models to optimize ad targeting, bidding, and delivery in real-time ad tech environments.
Analyze large-scale ad-serving data to uncover actionable insights, improve campaign performance, and drive revenue growth.
Collaborate with cross-functional teams (product, engineering, ad ops and rev ops) to define data-driven strategies for ad server, SSP, and other ad tech products.
Develop algorithms for demand-side and supply-side platform (SSP) optimization, focusing on improving monetization and user experience.
Build predictive models and forecasting tools to enhance audience segmentation, ad placements, and pricing strategies.
Maintain and scale data pipelines, ensuring seamless data integration from various sources to support model training and decision-making.
Apply A/B testing, statistical analysis, and performance metrics to validate and optimize ML models and algorithms.
Work closely with engineering teams to integrate machine learning models into production systems, ensuring real-time processing and scalability.
Mentor junior data scientists and provide technical leadership in implementing machine learning and data science best practices.
Stay current with industry trends and technologies in the ad tech ecosystem, ensuring the team adopts the most effective tools and techniques.
Requirements:
3+ years of experience in data science, machine learning, or analytics roles, focusing on ad tech or digital advertising.
Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) and programming languages (Python, R, SQL).
Proven experience working with ad tech products like ad servers, supply-side platforms (SSP), and demand-side platforms (DSP).
In-depth understanding of real-time bidding (RTB), programmatic advertising, and auction mechanisms.
Hands-on experience building and deploying ML models for optimization, recommendation systems, or predictive analytics.
Proficiency in big data tools and technologies (Hadoop, Spark, AWS, GCP) and experience working with large-scale datasets in advertising environments.
Strong analytical and problem-solving skills, with the ability to design experiments and measure the effectiveness of models in production.
Experience working in a fast-paced, agile environment, with strong collaboration skills across engineering, product, and ad ops teams.
Excellent communication and storytelling skills, capable of translating complex data insights into clear, actionable recommendations.
Fluent English speaking and writing skills.
3+ years of experience in data science, machine learning, or analytics roles, focusing on ad tech or digital advertising.
Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) and programming languages (Python, R, SQL).
Proven experience working with ad tech products like ad servers, supply-side platforms (SSP), and demand-side platforms (DSP).
In-depth understanding of real-time bidding (RTB), programmatic advertising, and auction mechanisms.
Hands-on experience building and deploying ML models for optimization, recommendation systems, or predictive analytics.
Proficiency in big data tools and technologies (Hadoop, Spark, AWS, GCP) and experience working with large-scale datasets in advertising environments.
Strong analytical and problem-solving skills, with the ability to design experiments and measure the effectiveness of models in production.
Experience working in a fast-paced, agile environment, with strong collaboration skills across engineering, product, and ad ops teams.
Excellent communication and storytelling skills, capable of translating complex data insights into clear, actionable recommendations.
Fluent English speaking and writing skills.
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.
שוהם
תל אביב - יפו
בוקר
סבסוד
השמה
10 חודשים
