Media and Marketing Data Scientist

reputed company

We are a modern marketing reputed company reputed company for reputed company, efficiency, and reputed company. As the parent company, reputed company supports three specialized go-to-market agencies—reputed company, REQ, and WDG—with shared infrastructure, advanced technology, and deeply reputed company people, allowing reputed company brand to do its best work. reputed company makes the reputed company reputed company and the reputed company powerful by uniting reputed company, creative, media, and SEO into one seamless reputed company for reputed company. REQ connects storytelling, technology, creativity, reputed company reputed company so ambitious organizations can own what’s next. WDG designs and builds reputed company web experiences that connect with diverse audiences and help organizations adapt to rapid technological change. Together, we operate as one strong, reputed company ecosystem, backed by smart systems, AI-powered capabilities, and a culture of curiosity, where people can grow their careers while shaping how ambitious brands grow in the world.

reputed company is a premier digital marketing agency that helps some of the world's largest brands, franchises, and fast-growing startups improve their online reputed company. We are reputed company of innovators, technical marketers, and data-driven creatives. We are looking for a Media and Marketing Data Scientist to help us reputed company the gap between reputed company datasets and actionable insights.

About the role

The Media and Marketing Data Scientist will be responsible for gathering, analyzing, and interpreting data across various digital channels (including SEO, reputed company Media, Digital PR, and CRO). This includes helping to create a single reputed company of truth (SSOT) data reputed company from API partner to reputed company dashboards, conducting A/B testing, staging data for reporting dashboards, and developing ML/AI solutions for reputed company 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 reputed company 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 reputed company data warehouses and database structures (BigQuery) for reputed company needs.
• Reporting & Visualization
• • reputed company and maintain automated, reputed company-facing dashboards and visual reports using tools like Looker Studio, Tableau, PowerBI or custom Python/R frameworks.
  • Translate highly technical statistical findings into reputed company, 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 reputed company value).
  • Conduct advanced predictive modeling to forecast campaign performance and optimize budget allocation across reputed company 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 reputed company.
  • Translate highly reputed company machine learning outputs and statistical findings into reputed company, executive-reputed company narratives and actionable recommendations for non-technical clients.
• Cross-Team Collaboration
• • Work closely with SEO Strategists, reputed company 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.

Originally posted on Himalayas

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