Media & Marketing Data Scientist

Go Fish Digital

8d•Hybrid

About The Position

Go Fish Digital is looking for a Media and Marketing Data Scientist to join our team! 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 source of truth (SSOT) data flow 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 blend 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.

Requirements

Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
0–4 years of experience in a data analytics or data science role, ideally with exposure to a digital marketing or agency environment.
Proficiency in SQL and Python.
Experience with Funnel.IO, Big Query, Supabase.
Experience with AI tools, Tableau, PowerBI, and/or Looker Studio.
Exceptional written and verbal communication skills, with the ability to "tell a story" using data to executives and clients.

Responsibilities

Extract, clean, and organize datasets from multiple marketing platforms (e.g., Google Analytics 4, CRM platforms, and ad networks).
Design and implement end-to-end data pipelines for collecting, cleaning, and transforming data from disparate sources into our ecosystem.
Maintain and optimize scalable data warehouses and database structures (BigQuery) for client needs.
Develop 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-ready narratives and actionable recommendations for non-technical clients.
Develop and implement statistical and machine learning models (e.g., attribution modeling, marketing mix modeling, churn prediction, and customer lifetime value).
Conduct advanced predictive modeling to forecast campaign performance and optimize budget allocation across paid search, social, and programmatic media.
Evaluate complex A/B testing and conversion rate optimization (CRO) efforts to ensure statistical validity and measure business impact.
Translate highly complex machine learning outputs and statistical findings into clear, executive-ready narratives and actionable recommendations for non-technical clients.
Work closely with SEO Strategists, Paid Media Managers, and Content Creators to identify algorithmic cross-channel opportunities.
Stay ahead of industry trends, algorithm updates, and emerging AI technologies to continuously improve internal agency reporting and data capabilities.