Data Scientist

2 Months ago • 5 Years + • Artificial Intelligence

Job Summary

Job Description

Papaya, a rapidly growing mobile games company, seeks a Data Scientist to lead the design and implementation of machine learning models. Responsibilities include building regression, classification, and clustering models using various ML/DL algorithms, utilizing petabytes of data, creating MLOps pipelines, and collaborating with cross-functional teams. The ideal candidate will have 5+ years of experience in the full ML lifecycle, experience productizing models at scale in cloud platforms, and proficiency in Python and relevant data science frameworks. This role offers the opportunity to be a pioneering member of the data science team and significantly contribute to product development.
Must have:
  • 5+ years of hands-on ML experience
  • Proficiency in Python & Data Science frameworks
  • Experience productizing ML models at scale
  • Lead ML model design and implementation
  • Build and deploy ML models
  • Create MLOps pipelines

Job Details

Description

Papaya is a TLV-based mobile games company with one of the fastest growth rates in the market and millions of players worldwide. Our passionate engineers are building a unique, innovative tournament platform used by numerous popular games.


We’re looking for a Data Scientist who’s eager to research and implement new tailored solutions for our users. You will be one of the pioneering core team members in the data science area, and establish yourself as a significant building block of our products at this critical point in time before we reach greater heights.


Responsibilities


  • Lead the design and implementation of machine learning models to solve business challenges and enhance our products.
  • Build regression, classification, and clustering models using Machine Learning and/or Deep Learning algorithms and techniques.
  • Utilize our petabytes of data and take ownership of the full cycle of ML initiatives from ideation to execution.
  • Create MLOps pipelines for seamless model training, deployment, monitoring, and retraining.
  • Collaborate with analysts, engineers, and stakeholders to identify opportunities for machine learning applications.
  • Evaluate and recommend tools, frameworks, and technologies to streamline ML workflows.

Requirements

  • 5+ years of hands-on experience in ML techniques for the complete life cycle: preprocessing, feature engineering/extraction, ML model training, and validation.
  • Proven experience in productizing real-world use cases, and high standard performance at scale in cloud platforms.
  • Proficiency in Python including experience with Data Science frameworks such us: AutoML, Scikit-Learn, XGBoost, Keras, Tensorflow, PyTorch.
  • Entrepreneurial mindset: capable of taking ownership of the solution, working independently, and bringing innovative ideas to the team.

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About The Company

Since 2019, Papaya has been committed to shaping the future of gaming through an innovative and forward-thinking approach to game development. We believe that gaming should be about more than just luck, which is why our games are designed to reward skill, strategy, and perseverance. 


Ranked by Dun’s 100 as one of the top 50 hi-tech companies in Israel to work for.

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