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SciPlay

DS Product Analyst

Posted Yesterday
Be an Early Applicant
Hybrid
Tel Aviv
Mid level
Hybrid
Tel Aviv
Mid level
Support data science projects by analyzing product performance data, developing data pipelines, and building predictive models, collaborating with cross-functional teams.
The summary above was generated by AI

SciPlay, is a global leader focused in providing an ever-expanding portfolio of robust iGaming and Social Casino solutions to the global gaming industry. To put it simply - we make Mobile and Facebook games that are fun to play, fun to make, and we're growing like crazy! SciPlay's reach is made possible by the expertise of our rock star teams and game makers. Want to be part of a fast-paced company that lands in the Top 1% of Social Casino games? See more details below!

Position Summary

As a data science product manager, you will support new and ongoing data science projects from the analytical perspective: business validation, product fit, data analysis, and data preparation. You will participate in the full lifecycle of data science projects — from ideation and proof of concept, through development, to production release and ongoing support.

Key Responsibilities:

  • Collaborate with cross-functional teams including Product, Engineering, and Design to develop data-driven strategies.

  • Analyze product performance data to extract insights and support decision-making.

  • Develop and maintain data pipelines using SQL, Python, and Spark to handle large-scale datasets.

  • Build and test predictive models, with a focus on personalization and recommendation systems.

  • Translate complex data findings into actionable recommendations to enhance user experience and engagement.

  • Support the deployment, monitoring, and maintenance of data-driven solutions in a production environment.

Requirements:

  • 2–3 years of experience as a Product Analyst or in a similar role.

  • Proven proficiency in SQL for querying and managing data.

  • Strong programming skills in Python for data analysis, statistical modeling, and machine learning.

  • Hands-on experience with Spark for distributed data processing.

  • Background in gaming – an advantage.

  • Experience as a business/product analyst in a data tools company – an advantage.

Qualifications

Top Skills

Python
Spark
SQL

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