Data Scientist

Sao Pablo

Wildlife Studios

"Play Tennis Clash for an exciting game of tennis! Try Zooba for a unique Battle Royale experience. Join Wildlife Studios for a career in game development."

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We're looking for a talented and passionate Data Scientist, to join Wildlifes' Product Insight team in São Paulo, Brazil.

What you'll do
  • 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, 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 outstanding results
  • Develop models and analyses that will help us solve the essential challenges in the development of our games
What you'll need
  • Experience working as a data scientist or machine learning engineer on technically challenging problems
  • Knowledge of statistics and machine learning that is both broad and deep
  • Solid coding skills in Python and SQL, familiarity with distributed computing (Spark, Presto, or Hive) and version control (Git)
  • Experience with model deployment at scale
More about you
  • You are impact-driven and have a keen eye for high-value opportunities to develop data science projects
  • You communicate clearly and compellingly in different media
  • You are an excellent teammate and raise the bar of those around
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. 

Tags: Git Machine Learning Model deployment Python Spark SQL Statistics

Perks/benefits: Career development

Region: North America
Job stats:  8  2  0
Category: Data Science Jobs

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