We are seeking a highly skilled and motivated Data Scientist to join our growing team.
In this role, you will work closely with our engineering, product, and analytics teams to build data-driven solutions that provide insights into ad performance, user behavior, and revenue optimization.
You will have access to a rich set of data sources, including Google Ad Manager data (ad requests, impressions, revenue) and CDP data (page views, page behavior, ad requests, impressions, and views).
Your work will directly influence the strategy and success of our ad products and services.
Key Responsibilities:
Data Analysis & Insights: Analyze large datasets from Google Ad Manager and CDP systems to identify trends, opportunities, and performance insights.
Ad Performance Optimization: Leverage data to optimize ad placements, formats, and targeting to maximize ad revenue while improving user experience.
Machine Learning Models: Build predictive models and machine learning algorithms to forecast ad performance, such as predicting ad impressions, revenue, and click-through rates based on historical behavior.
Data Integration: Collaborate with engineering teams to integrate and transform data from various sources (Google Ad Manager, CDP) to create unified datasets for analysis.
Reporting & Dashboards: Design and develop dashboards and reports for stakeholders to visualize key performance indicators (KPIs), ad performance, user behavior, and trends.
A/B Testing: Design and analyze A/B tests and experiments to evaluate the impact of new features, changes, and strategies on ad performance and user behavior.
Collaboration: Work closely with product managers, engineers, and business stakeholders to define data requirements and ensure data-driven decision-making.
