Data Scientist-R-248282

1 week ago

Ramat Gan, Tel Aviv, Israel Mastercard Full time ₪90,000 - ₪120,000 per year
Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title And Summary

Overview

In This Dynamic Role, You Will
  • Partner with Product, Engineering, and Customer Success teams to identify opportunities where data science can drive meaningful impact.
  • Design, develop, and deploy models that optimize user experiences and business performance, especially in the context of personalization and recommendation systems.
  • Leverage LLMs and generative AI to conceptualize and prototype cutting-edge solutions in personalization and customer engagement.
  • Transform business problems into data science projects, ensuring measurable impact and alignment with product goals.
  • Present findings, strategic insights, and innovative ideas clearly to both technical and non-technical stakeholders.
  • Promote a culture of innovation, sharing new technologies, tools, and methodologies with the broader team.
  • Monitor, evaluate, and improve model performance across various production environments.

All About You
  • Be fluent in machine learning and statistical modeling, with strong applied experience in real-world systems.
  • Demonstrate practical expertise in Python, SQL, and relevant ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Be experienced in using or fine-tuning large language models (LLMs) and working with generative AI tools.
  • Be skilled at framing complex problems into data science solutions and communicating them effectively across the organization.
  • Be energized by collaboration, innovation, and customer-centric thinking.

Bonus Points If You
  • Have worked in personalization, recommender systems, or behavioral analytics.
  • Are familiar with deploying models in production and integrating with modern MLOps pipelines.
  • Have experience with cloud platforms (e.g., AWS, GCP) and data tools (e.g., Airflow, Spark).
  • Stay actively engaged in the data science/AI community.

Corporate Security Responsibility
  • Abide by Mastercard's security policies and practices;
  • Ensure the confidentiality and integrity of the information being accessed;
  • Report any suspected information security violation or breach, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

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