Data Scientist/ML Engineer- - UPS Digital MARTEC

Overview

Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.

Fiche De Poste

Role Overview

We are seeking a Marketing Data Scientist to drive data-driven decision-making across customer acquisition, retention, campaign optimization, and marketing ROI measurement. The ideal candidate will combine strong statistical modeling skills with business acumen to translate marketing data into actionable insights.

Key Responsibilities

• Marketing Analytics & Modeling
• Build and deploy predictive models for customer acquisition, churn, and lifetime value (LTV).
• Develop marketing mix models (MMM) to measure channel effectiveness.
• Implement attribution models (multi-touch attribution).
• Perform A/B testing and experimental design for campaign optimization.
• Customer Insights
• Conduct segmentation using clustering techniques.
• Develop propensity models (conversion, upsell, cross-sell).
• Analyze behavioral and transactional datasets.
• Campaign Optimization
• Optimize digital campaigns (Paid Media, Email, SEO, Social).
• Improve targeting strategies using ML techniques.
• Forecast demand and campaign performance.
• Data Engineering Collaboration
• Work with Data Engineering teams to build scalable data pipelines.
• Ensure clean, structured marketing datasets.
• Support real-time scoring and automation use cases.
• Stakeholder Engagement
• Translate analytical findings into business recommendations.
• Present insights to Marketing Leadership and Growth teams.
• Support budgeting and spend allocation decisions.
  
  

Technical Skills

• Python (Pandas, Scikit-learn, XGBoost)
• SQL (Advanced querying, joins, optimization)
• Statistical modeling (Regression, Bayesian methods)
• A/B testing and experimental design
• Marketing Mix Modeling (MMM)
• Attribution modeling
• Experience with cloud platforms (Azure / AWS / GCP)
  
  

Analytics & Visualization

• Power BI / Tableau
• Data storytelling
• KPI dashboard design
  
  

• Experience in performance marketing analytics
• Exposure to CDP / CRM systems (Salesforce, Adobe, etc.)
• Knowledge of digital advertising platforms (Google Ads, Meta Ads)
• Familiarity with causal inference techniques
  
  

Education & Experience

• Bachelor’s or Master’s in Statistics, Mathematics, Data Science, Economics, or related field
• 8 to 10 years of experience in marketing analytics or data science
  
  

Key KPIs

• Campaign ROI improvement
• Customer acquisition cost (CAC) reduction
• Increase in conversion rate
• LTV growth
• Marketing spend efficiency
  
  

en CDI

Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.