Application ends: March 13, 2026
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Job Description

Job ID: R192995
Company: Shell Global
Location: Bangalore, Karnataka, India / Chennai, Tamil Nadu, India
Job Type: Full Time
Experience: 5+ years (3+ years Marketing Mix Modelling)
Education: Degree in Statistics, Mathematics, Operations Research, Computer Science, or related field
Expected Salary: ₹25–45 Lakhs per year
Job Category: Data Science, Python ML, Energy Analytics, Information Technology, Sales and Marketing
Website: Website
Contact: Contact us


About the Company:
🌐 Shell powers global energy transition with advanced analytics across downstream, renewables, and digital innovation.
India capability centers drive R&D, digitalization, and marketing analytics for sustainable energy solutions.


About the Role:
🔍 Develop end-to-end Marketing Mix Models (MMM) for Shell data scientist jobs Bangalore Chennai, capturing short/long-term marketing impact.
Optimize media budgets using Python-based multi-objective algorithms and open-source libraries like PyMC, Robyn.


Key Responsibilities:

  • 📊 Build ST/LT MMM models with adstock, saturation effects; conduct EDA, Bayesian regression, and funnel analysis.
  • 🔧 Solve media budget optimization problems; collaborate with business SMEs, IT, and analytics teams.
  • 📈 Present model insights to senior stakeholders through storytelling and actionable recommendations.

Requirements:

Core Skills:

  • 🛠️ 5+ years Data Science; 3+ years MMM experience; expert Python/SQL coding with production best practices.
  • 🔒 Deep knowledge of marketing funnels, ATL/BTL channels, optimization algorithms, and statistical modeling.

Desired:

  • 📊 Oil & Gas/CPG experience; R/Power BI; advanced ML (Causal ML, Neural Networks); AWS cloud platforms.

Why Join Shell?
✅ ₹25–45L salary for Shell marketing analytics salary Bangalore; work on energy transition challenges.
✅ Global collaboration across diverse teams with extensive training and career development opportunities.
✅ Impact sustainable energy strategies through cutting-edge MMM and optimization expertise.