Data Scientist
Pubblicato il 09-09-2026 - Moncler in Milano
Overview
We are looking for an engaged and detail-oriented
Overview
We are looking for an engaged and detail-oriented Data Scientist to join the Data Platform & AI Team at our HQ in Milan.
Your Impact
The Data Scientist will enhance the understanding and relationship with customers through analyses and models on Google Cloud Platform (GCP) and CRM data, generating actionable insights for campaigns, loyalty, and omnichannel strategies.
In Particular, The Resource Will Be Responsible For
- Design and execute descriptive, diagnostic, and predictive analyses on CRM data: segmentation, churn, propensity-to-buy, CLV, and campaign optimization.
- Prepare analytical datasets in BigQuery and Python notebooks for modeling and A/B testing.
- Build dashboards and reports for stakeholders (Power BI) with aligned KPI definitions.
- Collaborate with Data Engineering/DI for integration of historical data on GCP and modernization of BI on Microsoft Fabric.
- Monitor model performance (drift, retraining, explainability) and propose continuous improvements.
Qualification
Main Qualifications
Who We Are Looking For
- Degree in STEM disciplines (Computer Science, Statistics, Engineering, Mathematics).
- 3/5 years of experience in data science, preferably in CRM, e-commerce, or retail.
- GCP: BigQuery, Cloud Storage, orchestration (Cloud Composer/Airflow or Dataflow); Vertex AI.
- Stack: Python (pandas, numpy, scikit-learn), Git; basic knowledge of MLOps.
- Data visualization: Power BI.
- Knowledge of CRM metrics (RFM, CLV, conversion, retention) and experimental methods (A/B testing).
We Would Appreciate a Person That Is
- Able to communicate insights clearly, with strong attention to quality and reproducibility.
- Curious and proactive, with a strong problem-solving mindset.
Compensation & Benefits
- Application of CCNL Tessile
- Compensation package range: from 40.000 € to 50.000 € gross
- Competitive Corporate Welfare Services
"Moncler Group is an equal opportunity employer, which