Data Scientist

Responsibilities

• Build, maintain, and enhance Marketing Mix Modeling (MMM) frameworks across digital, offline, retail, and trade channels
• Develop econometric models to quantify media effectiveness, incrementality, and ROI
• Design approaches for granular optimization across geography, channel, SKU, and audience
• Build attribution, propensity, segmentation, pricing, and forecasting models
• Leverage modern AI/LLM tools to accelerate insight generation, code development, and storytelling
• Translate analytical outputs into clear business narratives and strategic recommendations for stakeholders

Requirements

• Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Engineering, Computer Science, or a related quantitative field
• 1-2 years of experience in marketing analytics, econometrics, or applied data science
• Hands-on experience building or supporting MMMs and marketing effectiveness studies
• Strong proficiency in Python or R
• Proficiency in SQL for large-scale data manipulation
• Strong understanding of statistical modeling, machine learning, and causal inference

Preferred Qualifications

• Experience in FMCG, Retail, or Consumer Goods analytics
• Knowledge of multi-touch attribution and customer analytics
• Experience with cloud ecosystems such as AWS, GCP, or Azure
• Familiarity with LLM-assisted workflows and AI-assisted coding
• Experience with BI tools like Tableau, Power BI, or Looker

About the Company

Dentsu is a global leader in marketing and media, focused on driving integrated growth solutions through innovation. For over 120 years, we have explored new ways to reach and engage audiences, helping clients achieve a multiplier effect through data-driven impact and sustainable business practices.