Senior Data Scientist

A Day in the Life

At AppLovin, we’re a leading player in the advertising technology industry. Our platform connects businesses with their potential customers through advanced machine learning technologies. We operate with state-of-the-art ML infrastructures and models that rival industry giants. As we continue to grow, we are seeking a talented Data Scientist to join our team.

We are looking for a skilled Data Scientist who excels at uncovering insights, making data-driven decisions, and has a deep understanding of statistics. While not necessarily requiring advanced knowledge in machine learning, this role is crucial in helping us analyze data effectively, connect the dots, and provide valuable insights to drive our advertising technology forward.

The Impact You'll Make

• Data Analysis: Conduct in-depth data analysis to extract meaningful insights from large datasets. Identify trends, patterns, and anomalies that can inform business decisions.
• Statistical Expertise: Apply your strong statistical knowledge to design experiments, perform hypothesis testing, and provide statistical insights to guide decision-making.
• Data Visualization: Create clear and compelling visualizations to communicate data-driven insights effectively to both technical and non-technical stakeholders.
• Data-Driven Decision-Making: Collaborate with cross-functional teams to support data-driven decision-making processes in various aspects of our business, including advertising strategies, user behavior analysis, and performance optimization.
• Tools and Packages: Leverage mainstream data analysis tools and packages (e.g., Python, SQL) to manipulate and analyze data efficiently.
• Reporting: Develop and maintain regular reports and dashboards to track key performance metrics and provide actionable recommendations.
• Continuous Learning: Stay updated with the latest trends and advancements in data analysis and statistical techniques to apply them effectively to our business challenges.

Who You Are

• Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, or related).
• Strong proficiency in data analysis tools and packages (e.g., Python, SQL).
• Deep understanding of statistics and experience in applying statistical concepts to real-world problems.
• Excellent data visualization skills using tools like Matplotlib, Seaborn, Tableau, or similar.
• Strong analytical and problem-solving abilities.
• Attention to detail and a passion for uncovering insights within data.
• Effective communication skills to convey complex findings to non-technical stakeholders.
• Ability to work collaboratively in a team and adapt to a dynamic environment.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on March 12, 2024.

Please see the independent bias audit report covering our use of Covey here.