What are the responsibilities and job description for the Data Scientist - Analytics position at Axon.ai?
About AppLovin
AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI 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.
Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.
Position Overview
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 scientists, engineers, and business stakeholders to uncover insights, diagnose issues, and identify opportunities for growth.
This role is ideal for someone early in their data science career who enjoys solving ambiguous problems, has foundational statistical and modeling knowledge, and is excited to build impactful tools used across the organization.
Key Responsibilities
Analytics, Monitoring & Tooling
CA Base Pay Range
$124,000—$186,000 USD
AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles. We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.
AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com.
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.
To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.
AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI 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.
Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.
Position Overview
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 scientists, engineers, and business stakeholders to uncover insights, diagnose issues, and identify opportunities for growth.
This role is ideal for someone early in their data science career who enjoys solving ambiguous problems, has foundational statistical and modeling knowledge, and is excited to build impactful tools used across the organization.
Key Responsibilities
Analytics, Monitoring & Tooling
- Build and maintain dashboards, monitoring systems, and automated reporting to track product, business, and model performance.
- Develop scalable analytics pipelines to surface key metrics, detect anomalies, and support timely issue diagnosis..
- Define and refine KPIs, using structured, hypothesis-driven analysis to understand performance changes and long-term trends.
- Analyze large datasets to identify trends, diagnose performance changes, and uncover growth opportunities.
- Conduct exploratory analysis, root-cause investigations, and hypothesis-driven deep dives.
- Support engineering and research science teams in evaluating model performance, including stability, calibration, and long-term health.
- Assist in designing A/B tests, computing key metrics, and interpreting results.
- Apply basic statistical reasoning (e.g., variance, confidence intervals, significance testing) to support decision-making.
- Partner with engineering to integrate new data sources, refine data structures, and enable scalable analytics.
- Work with product and business teams to understand analytical needs and translate them into actionable solutions.
- 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). Proficiency with SQL and at least one analytical programming language (Python preferred).
- 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.
- Master’s degree in Data Science or a related quantitative discipline.
- Experience with BI tools such as Looker, Tableau, Superset, Metabase, or similar.
- Familiarity with cloud data warehouses (e.g., BigQuery, Snowflake) and workflow orchestration tools such as Airflow.
- Exposure to A/B testing, experiment design, or statistical evaluation.
- Understanding of digital advertising, performance marketing metrics, or online marketplace dynamics.
- Experience collaborating with cross-functional teams (engineering, product, business).
- Hands-on experience with real production analytics, monitoring systems, and model evaluation.
- Opportunities to build foundational infrastructure that scales across teams.
- Exposure to high-scale data challenges and real-world ML performance considerations.
- A meaningful role in driving insights that inform product and business strategy.
CA Base Pay Range
$124,000—$186,000 USD
AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles. We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.
AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com.
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.
To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.
Salary : $124,000 - $186,000