Marketing Data Scientist - Insights, ML & Dashboards

Agital

United States

On-site

USD 90,000 - 140,000

Full time

14 days+

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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

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

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