PpbWho are you? /b /p pYou 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. /p pWe’re seeking a Data Scientist (AdTech) to lead our next-gen Offerwall AI, ideally someone who has scaled data / ML in ad monetization or gaming and loves shipping to production; you’ll set the technical vision and roadmap, 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. /p pThis 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. /p h3Who are we? /h3 pMAF 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 recognized globally, ranking 6th and 3rd on the Appsflyer Performance Index, and were named among the Top 10 fastest-growing startups in Italy and Top 100 in Europe by the Financial Times. /p h3What will you do? /h3 h3Dashboard Reporting /h3 pDesign, build, and maintain interactive Looker dashboards connected to BigQuery / SQL. /p pAutomate recurring reporting workflows and ensure ongoing data accuracy and consistency. /p h3Predictive Modeling Algorithms /h3 pDevelop and validate models for ROI, LTV, churn prediction, and other key business metrics. /p pApply clustering, anomaly detection, and advanced analytics techniques to identify user segments, fraud patterns, and optimization opportunities. /p h3Data Analysis Insights /h3 pAnalyze publisher-level and user-level data to uncover trends, behavioral patterns, and growth opportunities. /p pLead anti-fraud investigations by identifying suspicious activity, quantifying risk exposure, and producing clear, data-supported reports with actionable mitigation strategies. /p pPerform ad hoc analyses to support offer optimization, campaign performance reviews, and broader business decisions. /p h3Data Engineering Automation /h3 pBuild scripts and tasks to automate and clean data pipelines (e.g., retroactive field filling in BigQuery). /p pImprove BigQuery query performance and cost efficiency through partitioning, clustering, and SQL best practices. /p h3Operational Support /h3 ul liConduct 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. /li /ul h3What will you need? /h3 pProven experience in a Data Analyst, Data Scientist, or Data Engineer role with hands-on expertise in BigQuery, SQL, and Looker. /p pStrong knowledge of predictive modeling, clustering, and statistical analysis. /p pExperience with anti-fraud systems, risk detection, or high-integrity environments is a plus. /p pProficiency in Python or similar scripting languages for data automation and analysis. /p pSolid understanding of data pipeline optimization, query efficiency, and cost management. /p pExcellent communication skills in English (Italian is a plus), with the ability to present complex findings clearly to non-technical stakeholders. /p pStrong attention to detail, self-starter attitude, and ability to manage multiple projects independently. /p h3Growth Career Path /h3 ul liClear path to senior leadership : opportunity to grow into a Data Director role and build your own team, including ownership of roadmap, hiring, and mentoring. /li /ul pWe offer a permanent contract. /p pSalary will depend on actual experience and skills. /p h3What does it mean working at MAF? /h3 pA dynamic and collaborative work environment. /p pOpportunities for professional growth and continuous learning. /p pWork alongside international professionals in one of Europe’s fastest-growing digital marketing scale-ups. /p pAnnual training budget for courses, events, or certifications—you choose your personal and professional path. /p pTeam-building activities that mix brainstorming with fun and relaxation. /p pFree meals, snacks, fruit, and drinks provided daily at the office. /p /p #J-18808-Ljbffr