Senior Data Scientist
Descrizione dell'offerta
Who are you?
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.
Who are we?
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.
What will you do?
Dashboard & Reporting
- Design, build and maintain interactive Looker dashboards connected to BigQuery/SQL.
- Automate recurring reporting workflows and ensure ongoing data accuracy and consistency.
Predictive Modeling & Algorithms
- Develop and validate models for ROI, LTV, churn prediction and other key business metrics.
- Apply clustering, anomaly detection and advanced analytics techniques to identify user segments, fraud patterns and optimisation opportunities.
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.
What will you need?
- 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.
Growth & Career Path
- 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.
Salary will depend on actual experience and skills.
What does it mean working at MAF?
- A dynamic and collaborative work environment.
- Opportunities for professional growth and continuous learning.
- 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.
- Team‑building activities that mix brainstorming with fun and relaxation.
- Free meals, snacks, fruit and drinks provided daily at the office.
Approfondimento sul ruolo
MAF ricerca un Senior Data Scientist per la sua sede di Imola, in Emilia-Romagna, una posizione strategica nel settore AdTech e business intelligence. Si tratta di un'opportunità per professionisti esperti che vogliono guidare l'innovazione nei modelli predittivi e nelle strategie di ottimizzazione data-driven, con una retribuzione attrattiva tra i 70 e i 90 mila euro annui.
Il ruolo
Come Senior Data Scientist presso MAF, sarai responsabile di trasformare grandi volumi di dati in BigQuery e SQL in dashboard strategiche, modelli predittivi e insights azionabili che guideranno le decisioni di Product, Marketing e Operations. La posizione richiede di gestire progetti end-to-end, dalla fase di data ingestion e feature engineering fino al deployment dei modelli in produzione, con particolare focus su ranking optimization, bidding strategies e fraud detection per la nuova generazione di Offerwall AI. Avrai l'occasione di mentorare altri Data Scientist e ML Engineer, stabilire la visione tecnica della squadra e contribuire direttamente a incrementi misurabili di revenue attraverso algoritmi intelligenti e ottimizzazioni data-driven.
Competenze valorizzate
- Esperienza avanzata con BigQuery, SQL e linguaggi di programmazione per data science (Python, R)
- Competenze consolidate in machine learning, feature engineering e modellazione predittiva
- Capacità di progettazione e implementazione di sistemi MLOps con monitoring e retraining automatico
- Esperienza nel settore AdTech, ad monetization o gaming, con focus su production deployment
- Doti di leadership, mentoring e collaborazione interfunzionale con team Product e Engineering
Lavorare a Imola
Imola, in provincia di Bologna, rappresenta un hub dinamico dell'Emilia-Romagna per l'innovazione tecnologica e le aziende digitali in crescita. La regione offre un ecosistema favorevole per professionisti del settore data science e BI, con accesso a talenti qualificati e una comunità professionale attiva. Lavorare in questa città consente di coniugare un mercato del lavoro competitivo con una qualità della vita elevata e una vicinanza strategica ai principali centri tecnologici dell'Italia settentrionale.
Domande frequenti
- Qual è lo stipendio medio per un Senior Data Scientist in Italia?
- In Italia, un Senior Data Scientist con esperienza consolidata guadagna generalmente tra i 65 e i 95 mila euro annui, a seconda della città, dell'azienda e della specializzazione. L'offerta di MAF (70–90 EUR) si posiziona in linea con i compensi competitivi del mercato italiano per questa seniority.
- Quali requisiti sono fondamentali per questa posizione?
- È richiesta una forte esperienza nel trasformare dati grezzi in modelli predittivi e strategie ottimizzate, con pad