Senior Data Scientist

Tel Aviv, Israel

Full Time Senior level / Expert
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Posted 2 weeks ago

Huuuge Games, a global leading Mobile Gaming company, is building a state-of-the-art Big Data & AI platform to support the company's analytics, machine learning & AI, and data service’s needs. Our Big Data & AI platform handles billions of records per day, through complex processing (CEPs, graphs, machine learning & AI).


We are looking for an experienced Senior Data Scientist to join our ML and AI team. 

The role will involve an analytical approach needed for helping us discover the information hidden in vast amounts of data which will contribute to making smarter decisions to deliver even better products.


Your primary focus will be in applying data mining techniques, performing statistical analysis and building high quality prediction and recommendation systems integrated within our products. The ideal applicant will have an interest in the gaming domain and have a real passion for data.

Join Huuuge Games and get your ticket to take part in one of the greatest stories ever told in gaming. Team Huuuge is all about making truly social mobile games, and people who love games and dream about building experiences enjoyed by millions around the globe are who we are looking for.

What makes us special is our company culture. We worship everyday learning and playing together as a team of teams. People who are professional, humble and hungry to learn are the ones Huuuge Games is looking for.

Want to Play Together in Team Huuuge? Join us!


Your responsibilities :

  • Design and build data products and services based on predictions and recommendations models for improving company-level business performance (within our game studios and our marketing organization).
  • Participate in “deep-dive” research projects, such as detailed product analysis, customer segmentation and lifetime value analysis.
  • Identify potential business opportunities within your area and scope/design approaches to capture those opportunities.
  • Translate business needs to technical requirements and AB-tests and work with teams to ensure correct implementation allowing easy, precise analysis of the impact.
  • Develop an analysis strategy and perform complex scenarios and AB-tests, both systematically and on a one-off basis.
  • Carefully check, debug and problem solve issues to ensure you deliver accurate and clear analysis reports, quickly, even when confronted by subtle data complications.
  • Provide an analytics perspective to discussions and prioritization within your team, so that the overall team selects the right ideas to work on
  • Be the pro-active owner of the entire data chain for your Model/Game scope

Requirements

  • Experience of 4+ years as a Data Scientist.
  • Scientific proven and scientific experience and scientific approach (Data Exploration, Hypothesis Testing, Statistical Experiments)
  • Firm experience in design and development of prediction models (like LTV and churn).
  • An analytical/ data-driven approach
  • Good understanding and experience in the following: Python (pandas, scikit-learn, numpy, visualization libraries, tensorflow/keras and /or pytorch, xgboost), SQL, Notebooks working, Apache Spark (Dataframe, ML Pipeline, SQL), S3, Scala, Tableau.
  • Coding skills (Design Pattern usage, functional programing, abstraction and reusability)
  • Strong experience in big data manipulation (SQL, DataFrame, Complex Type, Window function, UDF, UADF, Query Optimization Aware, Good Culture in Cloud Technology, Skew Problematic)
  • Experience with Databricks - an advantage
  • Have a passion for games and a good understanding of what can increase players engagement and monetization - an advantage
  • Strongly motivated, Humble and Positive Attitude
  • Team player
  • Academic degrees in a scientific field (Physics, Mathematic or Computer Science
Job tags: AI Big Data Data Mining Keras Machine Learning Marketing ML NumPy Pandas Python PyTorch Research Scala Scikit-Learn Spark SQL Tableau TensorFlow XGBoost
Job region(s): Middle East
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