Data Scientist Intern

São Paulo

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Wildlife Studios

Wildlife Studios provides fun to millions of people around the world. We are here to transform the mobile gaming experience and engage with a global community.

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We're looking for a talented and passionate person to join Wildlife's Product Insights team in São Paulo as a Data Scientist Intern

As a Data Scientist Intern, you will learn and help the team improve our games, making them more successful and fun.

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
  • Develop models and analyses that will help us solve the essential challenges in the development of our games;
  • Build tools that help Wildlife turn data into actionable insights;
  • Design, analyze, and explain the results of experiments that test hypotheses of what makes our games better;
  • Collaborate with product managers, data engineers, and other data scientists to help Wildlife make the best and successful mobile games in the world;
  • Work in a challenging and fun environment to produce exceptional results

 

What you'll need
  • Be in the last year of an undergraduate degree in engineering, computer science, statistics, or similar;
  • Willingness to  learn;
  • Outstanding computer logical skills;
  • Good statistical knowledge;
  • SQL and Python or R language programming is a plus;

 

More about you
  • Positive attitude
  • Proactive
  • Open to feedback
  • Cultural fit.

 

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, Argentina, Ireland, 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.

Job tags: Engineering Python R SQL
Job region(s): South America
Job stats:  23  9  0
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