Data Scientist

A high-tech company specializing in the AdTech domain, particularly Real-Time Advertising.

The company has developed an advanced AI and ML based platform for analyzing traffic and advertising data, helping clients maximize ROI, improve user quality, and achieve campaign goals in real time.

Located in central Israel (near a train line), the company employs around 70 people globally, including 40 in Israel, and offers a hybrid work model with two days from home.

The company is profitable and revenue-driven, maintaining strong financial stability and operating at massive data scale.

The role -

• The role is part of a collaborative team that includes Data Engineers and Software Developers, serving as the sole Data Science function in the company.
• Responsible for research and development of Machine Learning models for Programmatic Advertising at a global scale.
• Involves analyzing and processing large-scale, real-time tabular ad data billions of daily requests and millisecond-level decision making.
• Includes translating business challenges into ML solutions and leading experiments such as A/B Testing and Causal Inference to measure business impact.
• Focused on model research and development as part of the production pipeline no need for writing production code or managing infrastructure, using existing tools and frameworks.
• Tech stack: Python, PyTorch, TensorFlow, Machine Learning, Algorithms, Data Structures, Probability, Statistics, A/B Testing, Causal Inference, Large-Scale Data, Cloud, NoSQL.

Requirements-

• B.Sc. in a scientific field from a university or GPA of 90+ from a top college – must
• At least 3 years of experience as a Data Scientist (or in a similar analytical/research-oriented role) – must
• Proven experience developing Machine Learning models – must
• Background in AdTech companies – must
• Experience with Python / PyTorch / TensorFlow (one or more) – advantage
• Familiarity with Algorithms, Data Structures, Probability, Statistics, and Experimental Design (A/B Testing, Causal Inference) – advantage
• Experience working with Large-Scale Datasets – advantage
• Experience in Cloud environments – advantage

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