Marketing Science Analyst

Scale Army Careers

. Investigate production model alerts, including declining model fit, unusual ROAS, and CAC spikes .

Posted 11/11/2026contractRemote • EgyptMid-LevelSenior💰 $2,000 - $2,400 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in marketing analytics and data analysis, with a strong focus on statistical modeling concepts such as Bayesian regression and marketing mix modeling. Proficient in Python and SQL for investigating data discrepancies and optimizing model configurations.

Highest-signal resume keywords

Marketing AnalyticsStatistical ModelingPython ProgrammingSQL ProficiencyData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Bayesian RegressionMarketing Mix ModelingData Discrepancy InvestigationPerformance Anomaly AnalysisAdstock EvaluationSaturation ConceptsModel Configuration ReviewAnalytical WorkflowsE-commerce Data AnalysisCausal Inference

Soft Skills

Strong Analytical JudgmentAttention to DetailPrioritization SkillsEffective Communication

Tools & Technologies

JiraAWS S3AWS AthenaBigQueryHexClaude CodeGitHub

Industry Keywords

Marketing AnalyticsData AnalysisApplied Data ScienceMedia BuyingChannel-Level ROAS

Tech Stack

Tools & technologies

AWSBigQueryPythonSQL

About the role

Key responsibilities & impact

Investigate production model alerts, including declining model fit, unusual ROAS, and CAC spikes
Develop hypotheses, analyze relevant data, test potential causes, and document findings and recommendations
Distinguish modeling issues from data problems such as broken feeds, incorrect campaign labels, or reporting delays
Prioritize investigations and maintain accurate records of findings and resolutions
Review and adjust production model configurations, including priors, seasonality, holidays, promotions, trends, and channel labeling
Evaluate adstock, Hill saturation, and other modeling parameters
Compare candidate configurations against live models based on model fit and channel plausibility
Promote validated configurations or document why proposed changes were rejected
Maintain model change logs and configuration decision documentation
Use AI coding agents, including Claude Code, to investigate model behavior and data discrepancies
Review Python and SQL code to understand modeling pipelines and troubleshoot issues
Validate AI-generated analyses, calculations, and recommendations against underlying data
Use AI-assisted workflows to accelerate investigations while maintaining analytical accuracy
Collaborate with Data Science and Customer Success teams
Translate complex modeling issues into practical recommendations for marketing stakeholders
Track investigation queues and technical issues in Jira
Maintain concise investigation notes and documentation for follow-up and handoffs
Review new model alerts and document an initial hypothesis within 1 business day
Document root causes and recommendations within 3 business days
Independently manage the complete model alert investigation process by day 60

Requirements

What you’ll need

3+ years of professional experience in marketing analytics, data analysis, applied data science, or a related analytical role
Experience investigating data discrepancies, performance anomalies, or issues within analytical systems
Experience reviewing Python and SQL code to understand data pipelines and analytical workflows
Experience with statistical modeling concepts, including Bayesian regression, seasonality, attribution, adstock, or saturation
A degree in statistics, economics, mathematics, engineering, or a related quantitative field, or equivalent hands-on experience
Experience in marketing analytics or media buying, including evaluating channel-level ROAS, preferred
Experience with marketing mix modeling (MMM) or causal inference, preferred
Experience analyzing e-commerce and advertising data from Shopify, Amazon Ads, TikTok Shop, Meta, or Google Ads, a plus
Ability to read, interpret, and lightly modify Python code
Ability to work with SQL
Understanding of Bayesian regression, marketing attribution, seasonality, adstock, and saturation concepts
Ability to investigate complex modeling pipelines and identify potential sources of errors
Strong analytical judgment when distinguishing data quality issues from modeling problems
Proficiency in directing AI coding agents through investigations and validating their findings
Ability to evaluate model configurations based on statistical fit and business plausibility
Familiarity with PyMC and Bayesian marketing mix modeling concepts
Ability to document hypotheses, investigation findings, and recommendations concisely
Strong attention to detail and ability to prioritize investigations based on business impact
Familiarity with Jira and AWS S3, preferred
Familiarity with AWS Athena, BigQuery, Hex, Claude Code, and GitHub, a plus
Candidates must be available to work 9:00 AM–5:00 PM EST / U.S. business hours
Resume must be submitted in English and PDF format
Application requires a video showcasing skill sets

Benefits

Comp & perks

Fully remote work from home
Opportunity to work directly with production marketing mix models used by hundreds of brands
Hands-on exposure to Bayesian modeling, AI-assisted analysis, and marketing performance measurement