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Media & Marketing Data Scientist

Remote (United States)

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Listed location: Remote (United States)
Work setup in the employer’s listing: Remote
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Full-time — employment source
Employment type in the employer’s listing: SALARIED_FT
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Apply at Go Fish Digital

What you’ll work on

Full posting

Go Fish Digital is looking for a Media and Marketing Data Scientist to join our team!

This role requires a blend of data foundations, diagnostic analytics and predictive modeling.

  • Extract, clean and organize data from marketing platforms such as GA4, CRM and ad networks

  • Design end-to-end data pipelines into a single source of truth for client dashboards

  • Build and maintain automated client-facing dashboards and visual reports

  • Build statistical and ML models such as attribution, marketing mix and churn prediction

  • Evaluate A/B tests and CRO efforts for statistical validity and business impact

From the employer’s posting
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.
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.
Develop and maintain automated, client-facing dashboards and visual reports
Develop and implement statistical and machine learning models (e.g., attribution modeling, marketing mix modeling, churn prediction, and customer lifetime value).
Evaluate complex A/B testing and conversion rate optimization (CRO) efforts to ensure statistical validity and measure business impact.

What you’ll bring

All qualifications

Core experience

  • Experience: 0–4 years of experience in a data analytics or data science role, ideally with exposure to a digital marketing or agency environment.
Qualification wording
Experience: 0–4 years of experience in a data analytics or data science role, ideally with exposure to a digital marketing or agency environment.
Education & alternatives
What You Bring - Education: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. - Experience: 0–4 years of experience in a data analytics or data science role, ideally with exposure to a digital marketing or agency environment.

Tools in this posting

  • Python
  • R
  • SQL
  • BigQuery
  • Looker
  • Power BI
  • Tableau
Source — Tool mentions in context
Reporting & Visualization - 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.
- Technical Proficiency: - - Languages: Proficiency in SQL and Python. - Platforms: Funnel.IO, Big Query, Supabase
- 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
- - Languages: Proficiency in SQL and Python. - Platforms: Funnel.IO, Big Query, Supabase - BI & Visualization: AI tools, Tableau, PowerBI, and/or Looker Studio
- Platforms: Funnel.IO, Big Query, Supabase - BI & Visualization: AI tools, Tableau, PowerBI, and/or Looker Studio - Soft Skills: Exceptional written and verbal communication skills, with the ability to "tell a story" using data to executives and clients.

About Go Fish Digital

We are a modern marketing collective built for scale, efficiency, and impact.

In the employer’s words · Read in context

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Live
First seen by us
Oct 15, 2026 · 3 days ago
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Last seen by us
Oct 18, 2026

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Job description

View original posting ↗

About Us

We are a modern marketing collective built for scale, efficiency, and impact. As the parent company, Agital supports three specialized agencies: Go Fish Digital, REQ, and WDG, with shared infrastructure, advanced technology, and deeply experienced people, allowing each brand to do its best work.


Go Fish Digital is an engineering-forward performance marketing agency specializing in SEO, Generative Engine Optimization (GEO), its Barracuda AI platform, social commerce, and conversion-focused creative.

 
WDG designs and builds complex enterprise web experiences for associations, nonprofits, foundations, universities, and other mission-driven organizations.

 
REQ is a digital marketing and communications agency specializing in brand, reputation, and advocacy for global organizations across technology, healthcare, finance, hospitality, and real estate.

 
Together, we operate as one collaborative ecosystem, combining deep expertise, AI-powered capabilities, and a culture of curiosity to help ambitious brands grow while creating meaningful opportunities for our people.


About the Role

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.


What You'll Do

Data Engineering & Integration

  • Data Cleaning: Extract, clean, and organize datasets from multiple marketing platforms (e.g., Google 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

  • 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.


Advanced Analytics & Modeling

  • 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.


Cross-Team Collaboration

  • 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.


What You Bring

  • Education: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • Experience: 0–4 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.
    • Platforms: Funnel.IO, Big Query, Supabase
    • BI & Visualization: AI tools, Tableau, PowerBI, and/or Looker Studio
  • Soft Skills: Exceptional written and verbal communication skills, with the ability to "tell a story" using data to executives and clients.


Why Join Us 
You'll work alongside talented people who are passionate about solving problems, helping clients grow, and delivering meaningful results. We're a collaborative, fast-moving team where curiosity is encouraged, ideas are welcomed, and great work is recognized.


We believe the best work happens when people are trusted to take ownership, supported in their growth, and empowered to bring their unique perspectives to the table. Whether you're just getting started or bringing years of experience, you'll have the opportunity to make an impact while continuing to learn and grow.


Benefits & Compensation 

We believe great people deserve great support. Our company offers competitive compensation and a comprehensive benefits package designed to support your health, well-being, and career growth, including:

  • Competitive compensation
  • Flexible work environment
  • Medical, dental, and vision insurance
  • Unlimited paid time off
  • 401(k) with company match
  • Company-paid life and disability insurance
  • Paid parental leave
  • A collaborative culture with autonomy and ownership
  • Employee wellness programs and additional perks


Additional Information

No agencies, please.


We are proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone feels respected, valued, and empowered to succeed. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.


Please note that this job description is intended to describe the general nature and level of work being performed. It is not intended to be a comprehensive list of all responsibilities, duties, or qualifications, which may change based on business needs.


At this time, we are unable to sponsor or transfer employment visas for this position.

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Remote (United States)

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