Reach over a billion daily users in mobile games. AppLovin helps consumer brands and gaming apps scale their business profitably.
About the role
AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here .
What they're looking for
- Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline
- Basic understanding of core statistical concepts and introductory modeling techniques, with the ability to apply them in practical analysis
- 0–3 years of experience in data analytics or data science (internships or projects count)
- Ability to work with large datasets and translate findings into actionable recommendations
- Ability to translate business questions into analytical frameworks and communicate insights effectively to both technical and non-technical audiences
- Curious, proactive mindset with a desire to learn quickly and contribute meaningfully
More about this role
AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com .
To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.
We are seeking a Data Scientist – Analytics to join our team and help bridge the gap between engineering and business functions at AppLovin. In this role, you will work with petabyte-scale datasets across our ad and app ecosystem , analyzing high-velocity data streams generated by tens of millions of daily active users . You will support the development of analytics tools, monitoring systems, and reporting pipelines that improve visibility into product health, business performance, and model outcomes. You’ll partner closely with research...
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