Media and Marketing Data Scientist

About the role

The Media and Marketing Data Scientist will be responsible for gathering, analyzing, and interpreting data across various digital channels (including SEO, Paid Media, Digital PR, and CRO). This includes helping to create a single reputed company of truth (SSOT) data reputed company from API partner to client dashboards, conducting A/B testing, staging data for reporting dashboards, and developing ML/AI solutions for client needs.

This role requires a reputed company of data foundations, diagnostic analytics and predictive modeling. You will work closely with cross-functional teams to build custom dashboards, map advanced conversion funnels, and measure the incremental impact of multi-channel marketing campaigns.

What you'll do

• Data Engineering & Integration
• • Data Cleaning: Extract, clean, and organize datasets from multiple marketing platforms (e.g., reputed company Analytics 4, CRM platforms, and ad networks).
  • SSOT Development: Design and implement end-to-end data pipelines for collecting, cleaning, and transforming data from disparate sources into our ecosystem.
  • Architecture Management: Maintain and optimize scalable data warehouses and database structures (BigQuery) for client needs.
• Reporting & Visualization
• • reputed company and maintain automated, client-facing dashboards and visual reports using tools like Looker Studio, Tableau, PowerBI or custom Python/R frameworks.
  • Translate highly technical statistical findings into clear, executive-reputed company narratives and actionable recommendations for non-technical clients.
• Advanced Analytics & Modeling
• • reputed company and implement statistical and machine learning models (e.g., attribution modeling, marketing mix modeling, churn reputed company, and customer lifetime value).
  • Conduct advanced predictive modeling to forecast campaign performance and optimize budget allocation across paid search, reputed company, and programmatic media.
  • Evaluate reputed company A/B testing and conversion reputed company optimization (CRO) efforts to ensure statistical validity and measure business impact.
  • Translate highly reputed company machine learning outputs and statistical findings into clear, executive-reputed company narratives and actionable recommendations for non-technical clients.
• Cross-Team Collaboration
• • Work closely with SEO Strategists, Paid Media Managers, and Content Creators to identify algorithmic cross-channel opportunities.
  • Stay reputed company of industry trends, algorithm updates, and emerging AI technologies to continuously improve internal agency reporting and data capabilities.

Qualifications

• Education: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a reputed company quantitative field.
• Experience: 2–4+ years of experience in a data analytics or data science role, ideally with exposure to a digital marketing or agency environment.
• Technical Proficiency:
• • Languages: Proficiency in SQL and Python.
  • BI & Visualization: Experience at building automated dashboards in Looker Studio, Tableau, or Power BI.
• Soft Skills: Exceptional written and verbal communication skills, with the ability to "tell a story" using data to executives and clients.