We are an innovative AdTech company, recognized as a Google Certified Publishing Partner, dedicated to optimizing ad inventory for Performance Publishers.

Through our exclusive technologies, validated strategies, and an elite team, we provide our partners connected to our AdX account with everything they need to scale their projects sustainably and exponentially.

The "win-win" culture is embedded in everything we do, from our Revenue Share partnership model with publishers to how we work with our team members.

As a fast-growing startup, we value collaboration, a culture of growth, responsibility, continuous personal development, and a proactive approach to technological and business challenges.

💼 Job Summary:

We are looking for a highly skilled and motivated Data Scientist Senior to join our growing team at ActiveView. In this role, you will collaborate closely with our engineering, product, and analytics teams to develop data-driven solutions that generate insights into ad performance, user behavior, and revenue optimization.

You’ll work with a rich ecosystem of data sources, including Google Ad Manager (ad requests, impressions, revenue) and our CDP (page views, user behavior, ad requests, impressions, and views). Your work will directly influence the strategy and success of our advertising products and services.

🔑Key responsibilities:

Data Analysis & Insights: Analyze large datasets from Google Ad Manager and CDP to uncover trends, opportunities, and actionable insights.
Ad Performance Optimization: Use data to improve ad placements, formats, and targeting, aiming to increase ad revenue while enhancing user experience.
Machine Learning Models: Build predictive models and algorithms to forecast ad performance (e.g., impressions, revenue, CTR) based on historical data.
Data Integration: Partner with engineering teams to integrate and transform data from multiple sources into unified datasets for analysis.
Reporting & Dashboards: Design dashboards and reports to visualize key metrics related to ad performance, user behavior, and business trends.
A/B Testing: Design and analyze experiments and A/B tests to assess the impact of new features, product changes, or strategic decisions.
Collaboration: Work with product managers, engineers, and business stakeholders to define data requirements and support data-driven decision-making.

✏ Job Benefits: