Ad Monetization Data Scientist

🚀 About Us

Founded in 2019, we’re a tech startup pioneering data-driven solutions for mobile app marketing, with a specialized focus on ad revenue optimization. Our platform helps top studios—including the creators of Fruit Ninja and other hit games—maximize performance, streamline campaign efficiency, and unlock actionable insights.

As we scale, we’re doubling down on our mission to deliver world-class reliability and cutting-edge monetization tools. That’s where you come in: We need a Ad Monetization Data Scientist to uphold our high standards, push our product’s performance further, and lay the groundwork for machine learning innovations.

🎯 The Role

As our Data Scientist, you’ll be the driving force behind our monetization intelligence – transforming billions of ad events into the insights and algorithms that power our platform. Working closely with developers, you’ll create the dashboards and analyses that help top studios maximize revenue while balancing player experience.

This is where deep analytics meets business impact: Your work will directly influence real-time pricing strategies, inform product decisions, and maintain our edge in mobile ad optimization. As we scale, you’ll help evolve our capabilities from descriptive analytics to predictive modeling.

🔍 Key Responsibilities

📊 Data Analysis & Insights

– Analyze ad performance data (eCPM, fill rates, user behavior) from various sources to identify trends, patterns, and revenue opportunities.

– Monitor KPIs (Revenue, Impressions, eCPM, ARPDAU) and diagnose anomalies.

– Conduct segmentation analysis to tailor ad strategies for different player cohorts.

📈 Reporting & Visualization

– Develop and maintain dashboards and reports (e.g., Astrato, Looker) to communicate insights to stakeholders.

– Present findings to senior management with clear, actionable recommendations.

🛠️ Data Engineering & Pipelines

– Maintain and optimize data pipelines from mediations (e.g., Unity, AppLovin) and analytics tools (e.g., Firebase, Google Analytics).

– Ensure data reliability across cloud warehouses (BigQuery, Snowflake) and databases.

– Work with engineers to streamline data workflows (we use Azure/GCP).

🤖 Advanced Analytics

– Utilize predictive modeling and machine learning (e.g., forecasting ad demand, dynamic pricing) to guide future strategies.

– Design and analyze A/B tests and focus groups to validate hypotheses.

– Gradually integrate lightweight ML solutions into our platform.

🛠️ Cross-Team Collaboration

– Partner with marketing, product, and sales teams to align data insights with business goals.

– Stay ahead of industry trends (privacy changes, bidding algorithms, SKAN) to keep our approach cutting-edge.

💡 Strategic Impact

– Translate data into recommendations for clients (e.g., “Best ad formats for casual vs. hardcore players”).

– Present insights clearly to both technical and non-technical stakeholders.

⭐ Qualifications

Must-Have:

– 5+ years in data analysis, business intelligence, or related fields.

– Expertise in SQL, and BI tools (Looker Studio, Astrato, Tableau, Power BI).

– Hands-on experience with data engineering (dbt, data warehouses like BigQuery/Snowflake).

– Strong knowledge of databases (SQL, NoSQL) and statistical analysis.

– Ability to translate complex data into actionable strategies for non-technical audiences.

Nice-to-Have:

– Familiarity with ad tech stacks (mediation platforms, MMPs) or game monetization.

– Exposure to cloud platforms (Azure, GCP) and DevOps tools (Kubernetes).

Personality Fit:

– Flexible & bold – Thrives in our fast-paced mobile ad tech environment where priorities evolve quickly.

– Independent yet collaborative – Takes ownership while contributing to team success.

– Detail-oriented problem solver – Spots trends in complex data and drives actionable solutions.

✨ Why Join Us?

– Pioneer Innovations: Solve complex challenges and create industry-leading ad tech solutions that shape the future of mobile monetization.

– Proven Startup, Bold Vision: Join an established leader in mobile advertising with the agility and ambition of a fast-growing startup.

– Own the Data Journey: Build our analytics practice from the ground up—from dashboards to predictive modeling—with real impact on revenue.

– Grow With Us: Transition from core analytics to machine learning.

– Work, Your Way: Remote-first flexibility with hybrid options, in a supportive, low-ego environment that values work-life balance.

📩 How to Apply

Send your resume and a short note about:

1. Your proudest data-driven business impact (e.g., “Improved revenue by X% via segmentation”).

2. Experience with ad tech, game data, or predictive modeling.

3. Why you’re excited about bridging analytics and engineering in a startup.