Scale Army Careers
11 - 50 employees
Founded 2021
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Scale Army Careers is a remote-first recruiting and talent placement service that matches experienced marketing, sales, and technical professionals outside the U. S. (primarily Latin America and Africa) with high-growth U. S. companies. They handle candidate screening (including application forms, video interviews, take-home assignments), contract and payment administration, and provide ongoing support and onboarding guidance while placements work directly with client companies. Roles are typically full-time remote positions paid in USD through payroll platforms like Deel.
Marketing Science Analyst
🔥 13 hours ago
🇪🇬 Egypt – Remote
💵 $2k - $2.4k / month
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🎡 Marketing
👻 Ghost score 16%
Where this job comes from
Posted on Scale Army Careers's careers page, not through a job board
First seen by Remote Rocketship 13 hours ago
Still open on Scale Army Careers's site. Checked 58 minutes ago.
Scale Army Careers
11 - 50 employees
Founded 2021
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Scale Army Careers is a remote-first recruiting and talent placement service that matches experienced marketing, sales, and technical professionals outside the U. S. (primarily Latin America and Africa) with high-growth U. S. companies. They handle candidate screening (including application forms, video interviews, take-home assignments), contract and payment administration, and provide ongoing support and onboarding guidance while placements work directly with client companies. Roles are typically full-time remote positions paid in USD through payroll platforms like Deel.
📋 Description
• 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
• 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
• 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
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