Wildlife's Insights team seeks a passionate Data Scientist to enhance game potential.  Responsibilities include providing data-driven solutions for game performance analysis, player engagement strategies, content customization, experiment execution, and game economy optimization.  The ideal candidate will leverage existing tools and build new ones to accelerate game development, foster best analytical practices, and create analyses, tools, and models to solve game-related problems.  Continuous iteration using experimentation and the scientific method is key. The role demands strong statistical and machine learning knowledge, experience in data science or machine learning engineering, and proficiency in product analytics.  Proactive communication, problem-solving skills, and the ability to work autonomously are essential.

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    <p>We're looking for a talented and passionate Data Scientist, to join Wildlife's Insights team.</p>
<p>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.</p>
<p>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.&nbsp;</p>
<h1><strong>What you'll do</strong></h1>
<ul>
<li>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.</li>
<li>Accelerate game development by answering business questions quickly levering existing tools or building new ones.</li>
<li>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.</li>
<li>Use experimentation and the scientific method to continuously iterate on your product — the game.</li>
</ul>
<h1><strong>What you'll need</strong></h1>
<ul>
<li>Knowledge of statistics and machine learning that is both deep and broad</li>
<li>1+ years of experience in working as a data scientist or machine learning engineer on technically challenging problems</li>
<li>Experience with product analytics</li>
</ul>
<h1><strong>Nice to have</strong></h1>
<ul>
<li>Knowledge of Looker</li>
</ul>
<h1><strong>More about you</strong></h1>
<ul>
<li>You can frame open-ended business problems and find creative solutions using data</li>
<li>You communicate in a structured way both speaking and writing, especially in English</li>
<li>You are autonomous in leading the execution of solutions proactively giving visibility to stakeholders and asking for help whenever needed</li>
<li>You promote rigorous but pragmatic analytical practices among other data scientists and business partners</li>
<li>You are driven by generating value and leverages a wide range of data science tools to do it — not just ML models</li>
</ul>
<p>&nbsp;</p>
<h1><strong>About Wildlife</strong></h1>
<p>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!</p>
<p>&nbsp;</p>
<h1><strong>Equal Opportunity</strong></h1>
<p>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.</p>
<p>We're committed to providing accommodations for candidates with disabilities in our recruiting process.</p>

    

    
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