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Sr. Marketing Decision Scientist

AppLovin was named one of the Best Workplaces in Advertising & Marketing 2022 by Fortune, one of the Hottest Adtech Companies of 2021 by Business Insider, and a Certified Great Place to Work in 2021 and 2022. Fortune recognized AppLovin as one of the Best Workplaces in the Bay Area 2022, alongside The San Francisco Business Times and Silicon Valley Business Journal who have also awarded AppLovin one of the Bay Area’s Best Places to Work for the past four years. Our team members are regularly recognized for their work and leadership, including recent award wins for San Francisco Business Times’ Outstanding LGBTQ+ Leaders 2022, Business Insider’s Rising Stars of Adtech 2022, Glassdoor’s Top CEOs 2019, and the Women in Content Marketing Awards 2021.

We are looking for an analyst with a strong statistical understanding looking to drive insights and strategic action across studios for some of the largest games across genres from Wordscapes, Final Fantasy XV: A New Empire, Cooking Madness, and more.

Applovin values execution upon data driven decisions. The analytics team embodies this ethos through a few overarching goals:

Own the outcome and success of performance. Understand through data what targets and events the marketing and game teams should be focused on to increase value to the business and ensure success

Develop fast, scalable analytics products, models, and analyses that drive direct, actionable impact or insight

Bring analytical rigor to support product launches and operations with actionable metrics and insights to maximize value

As a member of the analytics team, you will drive results through scalable data products, changing the landscape of mobile gaming.

What you’ll be doing:

• Own the outcome and success of performance. Set targets and drive insights for marketing and game teams to ensure we are driving value and growth. Work intimately with marketers, engineers, and game team to achieve cross functional success
• Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and validate your results
• Build models and automation tools when appropriate to project revenue, churn, bids, etc. to drive profitable, scalable impact
• Translate problems into structured analyses or data products that directly drive actionable insights that maximize value
• Design, implement, and evaluate experiments to test hypotheses to improve scale, engagement, retention, and monetization across titles
• Instrument in-game actions and data infrastructure by working in tandem with Engineering and Data Platform teams, enabling MZ to track, measure, and evaluate performance
• Communicate findings effectively across different stakeholders. If others do not understand the action or insight from the analysis there is no value.
• Educate your fellow analysts on how to apply statistical rigor to their analyses and business recommendations

Your background and who you are:

• 5+ years work experience analyzing large datasets in an analytics or product centric role
• Advanced degree (Masters or higher preferred) in Statistics, Applied Mathematics, Engineering, or other quantitative discipline
• Proficient with SQL, Hive, or other querying language
• Proficient with R, MATLAB, or other statistical packages
• Proficient with data visualization tools like Tableau, Superset
• Familiar with Python or other scripting languages
• A firm believer in the practical application of statistics - you have a deep toolkit of statistical techniques and know how to pick the appropriate tool for the challenge at hand
• Can provide structured analysis to drive solutions for ambiguous problems
• Strong written and verbal communication skills to go with your technical expertise. It’s second nature for you to tell coherent and compelling narratives around complicated quantitative concepts that can be easily understood by non-technical stakeholders
• A team player that is results focused and an intellectually curious self-starter. You bring a "can-do" attitude and are looking to own initiatives end-to-end in a fast-paced, rapidly changing environment
• Take pride in the quality of your work output. Your code, analyses, and documentation all reflect that of someone who is extremely detail-oriented
• Familiar with and passionate about analyzing user behavior on consumer mobile applications

AppLovin is an equal opportunity employer and considers qualified applicants without regard to race, gender, sexual orientation, gender identity or expression, genetic information, national origin, age, disability, medical condition, religion, marital status or veteran status, or any other basis protected by law.