Marketing Science Analyst

This is a fully remote position, open to applicants in Egypt.

📋 Description

• Analyze production model alerts, including drops in model fit, unusual ROAS, and spikes in CAC.

• Formulate hypotheses, assess relevant data, test potential causes, and document findings along with recommendations.

• Differentiate between modeling issues and data problems such as faulty feeds, inaccurate campaign labels, or reporting delays.

• Prioritize investigations and keep precise records of findings and resolutions.

• Review and modify production model configurations, accounting for priors, seasonality, holidays, promotions, trends, and channel labels.

• Assess adstock, Hill saturation, and other modeling parameters.

• Compare candidate configurations with live models based on model fit and channel credibility.

• Endorse validated configurations or record reasons for rejecting proposed changes.

• Maintain logs of model changes and documentation of configuration decisions.

• Utilize AI coding agents, including Claude Code, to explore model behavior and data discrepancies.

• Examine Python and SQL code to grasp modeling pipelines and resolve issues.

• Validate AI-generated analyses, calculations, and recommendations against supporting data.

• Leverage AI-assisted workflows to expedite investigations while ensuring analytical precision.

• Collaborate with Data Science and Customer Success teams.

• Simplify complex modeling issues into actionable recommendations for marketing stakeholders.

• Monitor investigation queues and technical issues in Jira.

• Keep succinct investigation notes and documentation for follow-ups and transitions.

• Review new model alerts and document an initial hypothesis within one business day.

• Document root causes and recommendations within three business days.

• Independently oversee the entire model alert investigation process within 60 days.

⛳️ Requirements

• Over 3 years of professional experience in marketing analytics, data analysis, applied data science, or a similar analytical role.

• Proven experience in investigating data discrepancies, performance anomalies, or issues within analytical systems.

• Familiarity with reviewing Python and SQL code to understand data pipelines and analytical workflows.

• Knowledge of statistical modeling concepts, including Bayesian regression, seasonality, attribution, adstock, or saturation.

• A degree in statistics, economics, mathematics, engineering, or a related quantitative discipline, or equivalent hands-on experience.

• Experience in marketing analytics or media buying, particularly in evaluating channel-level ROAS, is preferred.

• Familiarity with marketing mix modeling (MMM) or causal inference is preferred.

• Experience analyzing e-commerce and advertising data from platforms such as Shopify, Amazon Ads, TikTok Shop, Meta, or Google Ads is a plus.

• Capability to read, comprehend, and make minor modifications to Python code.

• Proficient in working with SQL.

• Understanding of Bayesian regression, marketing attribution, seasonality, adstock, and saturation concepts.

• Ability to investigate intricate modeling pipelines and spot potential error sources.

• Strong analytical judgement in distinguishing data quality concerns from modeling issues.

• Proficiency in guiding AI coding agents throughout investigations and validating their outputs.

• Capability to evaluate model configurations based on statistical fit and business viability.

• Familiarity with PyMC and Bayesian marketing mix modeling concepts.

• Ability to document hypotheses, investigation results, and recommendations clearly.

• High attention to detail and capacity to prioritize investigations based on business impact.

• Familiarity with Jira and AWS S3 is preferred.

• Knowledge of AWS Athena, BigQuery, Hex, Claude Code, and GitHub is a plus.

• Candidates should be available to work from 9:00 AM–5:00 PM EST / U.S. business hours.

• Resume must be submitted in English and in PDF format.

• Application requires a video demonstrating skill sets.

🏝️ Benefits

• Fully remote work from home.

• Opportunity to work directly with production marketing mix models utilized by numerous brands.

• Hands-on experience with Bayesian modeling, AI-assisted analysis, and marketing performance measurement.