You are a highly analytical, data‐driven Data Scientist who can turn raw data in BigQuery/SQL into strategic dashboards, predictive models and actionable insights that guide Product, Marketing and Operations—owning projects end to end from data ingestion and feature engineering to experimentation and model deployment.We're seeking a Data Scientist (AdTech) to lead our next‐gen Offerwall AI.Ideally you have scaled data/ML in ad monetization or gaming and love shipping to production; you'll set the technical vision, mentor DS/ML engineers, partner with Product and Engineering, and drive measurable revenue lift through ranking/optimization models, bidding strategies, fraud/quality signals and user‐value prediction, while establishing strong MLOps (monitoring, retraining, A/B testing) to keep models healthy in production.This role reports directly to the Board and offers a clear path to senior leadership: the opportunity to grow into a Data Director role and build your own team, including ownership of the roadmap, hiring and mentoring.MAF is a leading digital advertising company designing innovative solutions to meet the needs of advertisers and publishers in the Performance App Marketing industry. We have been recognised globally, ranking 6th and 3rd on the Appsflyer Performance Index, and were named among the Top 10 fastest‐growing start‐ups in Italy and Top 100 in Europe by the Financial Times.Dashboard & Reporting Design, build and maintain interactive Looker dashboards connected to BigQuery/SQL.Automate recurring reporting workflows and ensure ongoing data accuracy and consistency.
Develop and validate models for ROI, LTV, churn prediction and other key business metrics.Data Analysis & Insights
Analyse publisher‐level and user‐level data to uncover trends, behavioural patterns and growth opportunities.Lead anti‐fraud investigations by identifying suspicious activity, quantifying risk exposure and producing clear, data‐supported reports with actionable mitigation strategies.Perform ad‐hoc analyses to support offer optimisation, campaign performance reviews and broader business decisions.
Data Engineering & Automation
Build scripts and tasks to automate and clean data pipelines (e.g. retroactive field filling in BigQuery).Improve BigQuery query performance and cost efficiency through partitioning, clustering and SQL best practices.
Operational Support
Conduct funnel reporting and analysis by extracting metrics (acquisition, activation, retention, revenue) from BigQuery and delivering clear, structured Excel‐based summaries using custom templates and macros.
Proven experience in a Data Analyst, Data Scientist or Data Engineer role with hands‐on expertise in BigQuery, SQL and Looker.Strong knowledge of predictive modelling, clustering and statistical analysis.Experience with anti‐fraud systems, risk detection or high‐integrity environments is a plus.Proficiency in Python or similar scripting languages for data automation and analysis.Solid understanding of data pipeline optimisation, query efficiency and cost management.Excellent communication skills in English (Italian is a plus), with the ability to present complex findings clearly to non‐technical stakeholders.Strong attention to detail, self‐starter attitude and ability to manage multiple projects independently.
Clear path to senior leadership: opportunity to grow into a Data Director role and build your own team, including ownership of roadmap, hiring and mentoring.
We offer a permanent contract.What does it mean working at MAF?
Work alongside international professionals in one of Europe's fastest‐growing digital marketing scale‐ups.Annual training budget for courses, events or certifications—you choose your personal and professional path.Free meals, snacks, fruit and drinks provided daily at the office.
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