Data Scientist

As a Marketing Data Scientist, you will play a key role in enhancing how a leading coffee and consumer goods global brand engages with millions of customers across digital and offline channels. Your work will shape data-driven marketing strategies and improve attribution modeling to maximize campaign impact.

Responsibilities

• Analyze customer, marketing, and onsite data using SQL and Python to enhance marketing campaign performance and customer engagement.
• Develop, expand, and optimize Data Science use cases such as attribution modeling, bidding optimization, and campaign performance forecasting using open-source technologies.
• Build and maintain self-service BI solutions tailored to marketing teams, enabling data-driven decision-making.
• Collaborate closely with marketing, CRM, and product teams to bridge data science and business needs.
• Support marketing automation and personalization initiatives with advanced models and actionable insights.

Qualifications

• Solid experience in forecasting models and predictive analytics using machine learning and statistical methods.
• Strong understanding of onsite tracking (e.g., Google Analytics, GA4) and online marketing metrics.
• Hands-on experience with Python for statistical modeling and automation.
• Advanced knowledge of SQL (BigQuery or Redshift preferred).
• Familiarity with CRM systems and marketing automation tools .
• Strong grasp of digital marketing strategies and KPIs.

Technical Skills:

• Proficiency in Python and SQL programming.
• Experience with data transformation tools (e.g., dbt).
• Familiarity with virtualization (e.g., Docker).
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Marketing & Analytics Knowledge:

• Expertise in attribution modeling, bidding strategies , and testing methodologies .
• Understanding of key marketing platforms (Paid Search, Social Media, Display, etc.).
• Ability to translate complex data into meaningful recommendations for marketing.