Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Remote (United States)
Live, first seen by us 20 days agoListed location: Remote (United States)
Work setup in the employer’s posting: RemoteFrom the employer’s posting
Employment type in the employer’s posting: SALARIED_FTFrom the employer’s posting
Experience: 0–4 years of experience in a data analytics or data science role, ideally with exposure to a digital marketing or agency environment
At this time, we are unable to sponsor or transfer employment visas for this position
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
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.
Experience: 0–4 years of experience in a data analytics or data science role, ideally with exposure to a digital marketing or agency environment.
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.
We are a modern marketing collective built for scale, efficiency, and impact.
In the employer’s words · Read in context
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$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 20
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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.
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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
Reporting & Visualization
Advanced Analytics & Modeling
Cross-Team Collaboration
What You Bring
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:
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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