Media & Marketing Data Scientist

Agital; United States; On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Competitive pay

Flexible work environment

Healthcare (medical, dental, vision)

Job summary

Agital, the parent company of Go Fish Digital, REQ, and WDG, seeks a Media and Marketing Data Scientist to gather, analyze, and interpret data across digital channels, building SSOT data flows from APIs to client dashboards and developing ML/AI solutions for client needs. This role blends data foundations with diagnostic analytics and predictive modeling.

You will collaborate with cross-functional teams to build dashboards, map advanced conversion funnels, and measure the incremental impact of

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or 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.
• Platforms: Funnel.IO, BigQuery, Supabase.
• BI/Visualization: Tableau, PowerBI, Looker Studio, and/or AI tools.
• Exceptional written and verbal communication skills, with the ability to tell a story using data to executives and clients.

Responsibilities

• 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.
• 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 CRO efforts to ensure statistical validity and measure business impact.
• Translate highly complex machine learning outputs 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 cross-channel opportunities.
• Stay ahead of industry trends and emerging AI technologies to improve reporting and data capabilities.

Skills

SQL

Python

Data Visualization

Storytelling with data

Education

Bachelor's or Master's in a quantitative field

Tools

BigQuery

Funnel.IO

Supabase

Job description

About Us

We are a modern marketing collective built for scale, efficiency, and impact. As the parent company,

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.

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 inSQL 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

• 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.