This job listing expired on Jun 15, 2022
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As a Data Scientist in the data science team at Embark you will be a gamemaker in a small team focused on supporting and leading the analytical efforts of a PVP game and delivering insights to our game team.

The data science team at Embark is a small team focused on making sure we have data and analysis supporting game design and development, as well as a data model and reports to serve the rest of the business. You’ll be an integral part of a highly creative game team and together you’ll create and improve the high-quality, polished experiences we want to provide to our players. At Embark we believe in creating smaller teams of well-aligned experts that can be trusted to create games and keep them running. Some of the technologies we use to make all of those things are Python and BigQuery.

Example of responsibilities

  • Collaborate and work closely with game designers and business stakeholders.
  • Research and develop metrics and performance indicators
  • Extract, analyze and communicate insights from gameplay data
  • Apply machine learning models to better understand our players
  • Design telemetry logging
  • Communicate results clearly and concisely to all the business stakeholders

We would love if you have some of the following

  • Experience working with either Hadoop, BigQuery, Snowflake
  • Strong Programming skills in Python or R
  • Deep knowledge of complex SQL
  • Experience in predictive modeling and analysis over large datasets
  • Experience in building dashboards and reports using tools such as rshiny/streamlit/jupyter notebooks etc
  • Experience in making ETLs and data pipelines
  • Great written and verbal communication and presentation skills in English
  • Experience or interest in games

At Embark we offer competitive salaries, a generous profit-sharing program, and much more, but most of all we invite you to take part of a journey into the unknown, to build creative, surprising and beautiful experiences together.

We welcome people from all backgrounds and are looking forward to reading more about you (in English)!