As a part of a dynamic international team that works across all strategic ad product initiatives. Your key responsibilities will include:
Explore and examine data from multiple disparate sources
Organizing data into usable formats
Develop custom data models and algorithms to apply to data sets
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, etc
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Building machine learning algorithms
Cooperate with data tracking specialists and enhancing the data collection process
Cooperate with data engineers in processing, cleansing & verifying of data
Cooperate with marketing data analysts and analysing data for trends and patterns and to find answers to specific questions
Cooperate with data architects at setting up data infrastructure. Develop, implement and maintain databases
Preparing reports for executive and project teams
Create visualizations of data
Maintain multi-touch attribution and lead scoring initiatives.
Move the organization towards predictive and prescriptive analytics
Translate data into decisions, meaningful interactions, and impactful business outcomes to drive our development and customer experience strategies
University degree in Mathematics/Statistics/Economics/IT or equivalent experience
Experience in statistical and data mining techniques
Strong analytical, problem solving and business judgmental skills
Experience querying databases and using statistical computer languages: R, Python, SQL.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience within the digital marketing and AdTech sector
Knowledge of Web analytics
Experience and understanding of organizing databases
Experience with Data Studio, Power BI, Tableau or any similar platforms preferred but not essential
Passionate about complex data structures
Comfortable working in English
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