Data Scientist

7 days ago

Rehovot Center District, Israel Experis Israel Full time $104,000 - $130,878 per year

Be our next
Data Scientist

We're looking for a Data Scientist to join our Real-Time Advertising team and contribute to building an advanced AI/ML-driven platform that drives smart user growth and delivers tailored, results-focused marketing solutions for top app companies worldwide

You'll design and optimize machine learning solutions that power programmatic advertising at a truly global scale. This means working with billions of daily requests, millisecond-level decisioning, and some of the most challenging problems in applied machine learning today.

Rehovot

Key Responsibilities

  • Design machine learning models that optimize ad targeting, relevance and campaign performance at scale.

  • Explore and analyze large-scale, high-velocity ad data (billions of requests per day, real-time bidding at massive global scale), deriving actionable insights to guide model development.

  • Translate complex business challenges into measurable, ML-driven solutions, ensuring business impact through experimentation and iteration.

  • Partner with data engineers, product managers, and software developers to continuously improve business performance.

  • Continuously monitor, evaluate, and refine models in production, ensuring accuracy, efficiency, and measurable business impact in the fast-evolving AdTech landscape.

  • Design and run experiments (A/B testing, causal inference) to evaluate model impact and guide decision-making.

  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Requirements:

  • MSc in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.

  • 7+ years of experience designing, building, and deploying machine learning models in production, ideally in large-scale data environments.

  • Strong foundations in algorithms, data structures, probability, statistics, and experimental design (A/B testing, causal inference).

  • Proven track record of leading end-to-end data science projects: from problem framing and model development to deployment, monitoring, and iteration.

  • Hands-on experience working with large-scale datasets.

  • Familiarity with AdTech systems (e.g., RTB, attribution, campaign optimization, fraud detection) is a strong plus.

  • Experience with model monitoring in production.

  • Strong communication skills with ability to explain complex concepts to diverse stakeholders.

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