Marketing Scientist

🕒 July 27

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎡 Marketing

👻 Ghost score 18%

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Logo of Zepz

Zepz

501 - 1000 employees

Founded 2021

💳 Fintech

👥 B2C

💰 $165M Debt Financing - Zepz on 2025-03

Fintech • B2C

Zepz is a fintech company that operates digital remittance brands (notably WorldRemit and Sendwave) offering fast, secure, mobile-first cross-border money transfer services for consumers. The company emphasizes fair, fast and flexible payments, a world-class customer experience, and global reach — enabling app-based transfers to over 130 countries, with reported volumes of about $10 billion transferred and 50 million customer transactions in 2020 across more than 5,000 corridors. Zepz positions itself as customer-focused and growth-oriented, with hundreds of employees and multiple international offices supporting consumer remittances primarily to regions such as Africa and Asia.

📋 Description

• Reporting into the Marketing AnalyticsScience Lead within the Marketing Department • Elevate our marketing performance through data-driven insights and advanced analytics • Support key initiatives around Marketing Mix Modeling (MMM), attribution, and causal inference • Develop analytics to evaluate marketing effectiveness and ROI, using MMM, attribution modeling, CLV and experimentation • Apply causal inference techniques (e.g., difference-in-differences, propensity score matching, uplift modeling) to isolate true marketing impact • Automate the training and deployment of updated models • Create ‘insight-ready’ datasets from raw data by building pipelines • Build and support self-serve analytics dashboards • Support the marketing team with campaign analysis, data requirements, training and ad-hoc analysis • Communicate complex analytical findings to executive stakeholders in a clear and actionable way

🎯 Requirements

• Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Data Science or a related field • 3+ years of experience in marketing analytics or performance marketing measurement • Expertise in Marketing Mix Modeling, attribution techniques, with demonstrated experience applying these to real-world problems • Proficiency in SQL and data-visualisation tools • Proficiency in Python, with demonstrated experience building open-source Marketing Mix Models (Robyn, Meridian, LightweightMMM etc.) • Deep understanding of the marketing funnel and channels • Strong project management and stakeholder communication skills • Ability to work independently and lead high-impact projects end-to-end

🏖️ Benefits

• unlimited annual leave • great healthcare • employee discounts

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