Data Scientist
Pubblicato il 09-08-2026 - Moncler in Milano
Overview
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We are looking for an engaged and detail-oriented
Overview
We are looking for an engaged and detail-orientedData Scientistto 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 ****** € to ****** € gross
Competitive Corporate Welfare Services
"Moncler Group is an equal opportunity employer, which means we do not discriminate on the basis of Ethnic origin, Skin color, Religion, Civil status, Age, Nationality, Ancestry, any form of disability or neurodivergence, medical condition, Gender, Gender Identity or Expression, Sexual Orientation. xysqume We celebrate diversity and are committed to creating an inclusive environment for all employees."
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