Data Scientist

1 Day ago • 1 Years +

Job Summary

Job Description

As a Data Scientist at Wildlife, you will play a crucial role in expanding game potential by providing innovative solutions to business challenges. Your responsibilities will include analyzing game performance, improving player engagement, customizing content, running successful experiments, and optimizing the game economy. You will be expected to enable game teams to make data-informed decisions by providing access to data, fostering best analytical practices, and creating tools and models. You will also accelerate game development by answering business questions quickly using existing or new tools, and using experimentation and the scientific method to continuously improve the games. This role requires a curious, proactive individual who thrives in a fast-paced, growing environment.
Must have:
  • Knowledge of statistics and machine learning
  • 1+ years of experience as a data scientist or machine learning engineer
  • Experience with product analytics
Good to have:
  • Knowledge of Looker

Job Details

We're looking for a talented and passionate Data Scientist, to join Wildlife's Insights team.

As a Data Scientist, you will expand game potential by providing non-trivial solutions to business questions, such as how to analyze game performance, engage players, customize content, run successful experiments, and optimize game economy.

We know that the work we do has a high impact on our company's success and culture. The right person for this position is curious by nature, and comfortable in a "take the initiative" environment, loves solving problems, and can thrive in a fast and growing business. 

What you'll do

  • Enable game teams to make data-informed decisions by providing access to data, fostering best analytical practices and rigor, and creating analyses, tools, and models to solve specific game problems.
  • Accelerate game development by answering business questions quickly levering existing tools or building new ones.
  • Expand game potential by providing non-trivial solutions to business questions such as how to analyse game performance, engage players, customize content, run successful experiments, and optimize game economy.
  • Use experimentation and the scientific method to continuously iterate on your product — the game.

What you'll need

  • Knowledge of statistics and machine learning that is both deep and broad
  • 1+ years of experience in working as a data scientist or machine learning engineer on technically challenging problems
  • Experience with product analytics

Nice to have

  • Knowledge of Looker

More about you

  • You can frame open-ended business problems and find creative solutions using data
  • You communicate in a structured way both speaking and writing, especially in English
  • You are autonomous in leading the execution of solutions proactively giving visibility to stakeholders and asking for help whenever needed
  • You promote rigorous but pragmatic analytical practices among other data scientists and business partners
  • You are driven by generating value and leverages a wide range of data science tools to do it — not just ML models

 

About Wildlife

Wildlife is one of the leading mobile game developers and publishers in the world. We have released more than 60 titles, reaching billions of people around the globe. Today, we have offices in Brazil, Finland and the United States. Here, we create games that will excite, intrigue, and engage our players for years to come!

 

Equal Opportunity

Wildlife is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, colour, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

We're committed to providing accommodations for candidates with disabilities in our recruiting process.

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