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Data Scientist

Wildlife Studios

São Paulo

Presencial

BRL 120.000 - 160.000

Tempo integral

Há 30+ dias

Melhora as tuas possibilidades de ir a entrevistas

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Resumo da oferta

Join a forward-thinking mobile game developer as a Data Scientist, where your analytical skills will directly influence game performance and player engagement. In this dynamic role, you'll tackle complex business questions, drive innovation through data, and collaborate with game teams to enhance player experiences. This is an exciting opportunity to be part of a global leader in mobile gaming, known for its commitment to creativity and excellence. If you're passionate about data and eager to make an impact in a fast-paced environment, this position is perfect for you.

Qualificações

  • 1+ years of experience as a data scientist or machine learning engineer.
  • Deep knowledge of statistics and machine learning.

Responsabilidades

  • Enable game teams to make data-informed decisions and create analyses.
  • Accelerate game development by answering business questions quickly.

Conhecimentos

Statistics
Machine Learning
Problem Solving
Data Analysis
Communication

Formação académica

Bachelor's degree in a relevant field

Ferramentas

Looker

Descrição da oferta de emprego

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, 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 leveraging existing tools or building new ones.
  • 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.
  • 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 leverage 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!

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

Apply now
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