Media & Marketing Data Scientist

Go Fish

. Gather, analyze, and interpret data across SEO, paid media, digital PR, and CRO channels .

Posted 10/15/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in data analysis and machine learning, with a strong ability to develop and maintain data pipelines and dashboards. Skilled in translating complex data findings into actionable insights for stakeholders.

Highest-signal resume keywords

SQL ProficiencyPython ProficiencyBigQuery ExperienceMachine Learning Model DevelopmentData Visualization with Tableau

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisA/B TestingStatistical ModelingData CleaningData Pipeline DesignForecastingAttribution ModelingChurn PredictionCustomer Lifetime Value ModelingCRO Evaluation

Soft Skills

Exceptional Communication SkillsStorytelling with Data

Tools & Technologies

Google Analytics 4Funnel.IOSupabaseTableauPowerBILooker Studio

Industry Keywords

Digital MarketingSEOPaid MediaDigital PRCROAI Technologies

Tech Stack

Tools & technologies

BigQueryPythonSQLTableau

About the role

Key responsibilities & impact

Gather, analyze, and interpret data across SEO, paid media, digital PR, and CRO channels
Create a single source of truth data flow from API partners to client dashboards
Conduct A/B testing and stage data for reporting dashboards
Develop machine learning and AI solutions for client needs
Extract, clean, and organize datasets from Google Analytics 4, CRM platforms, and ad networks
Design and implement end-to-end data pipelines
Maintain and optimize scalable BigQuery data warehouses and database structures
Develop and maintain automated client-facing dashboards and visual reports
Translate statistical and machine learning findings into executive-ready narratives and actionable recommendations
Develop statistical and machine learning models, including attribution modeling, marketing mix modeling, churn prediction, and customer lifetime value
Forecast campaign performance and optimize budget allocation across paid search, social, and programmatic media
Evaluate A/B testing and CRO efforts for statistical validity and business impact
Collaborate with SEO Strategists, Paid Media Managers, and Content Creators to identify cross-channel opportunities
Stay current with industry trends, algorithm updates, and emerging AI technologies

Requirements

What you’ll need

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, BigQuery, and 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
Unable to sponsor or transfer employment visas for this position

Benefits

Comp & perks

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