Senior Marketing Data Scientist
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Job Description
Senior Marketing Data Scientist optimizing WorldRemit and Sendwave marketing performance through MMM, attribution, and causal inference. Building automated models, datasets, and dashboards for Zepz’s global money-transfer business.
Responsibilities:
- Report to the Head of Insights
- Develop analytics to evaluate marketing effectiveness and ROI using Marketing Mix Modeling, attribution modeling, customer lifetime value, and experimentation
- Apply causal inference techniques, including difference-in-differences, propensity score matching, and uplift modeling, to isolate marketing impact and support strategic planning
- Automate training and deployment of updated models
- Ensure model outputs are tested, automated, scalable, documented, and monitored for drift
- Create insight-ready datasets from raw data by building automated data-cleaning 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 clearly and actionably to executive stakeholders
- Collaborate cross-functionally and drive high-impact projects end-to-end as an individual contributor
Requirements:
- Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Data Science or a related field
- 5–10 years of experience in marketing analytics or performance marketing measurement
- Expertise in Marketing Mix Modeling and attribution techniques, with demonstrated real-world application
- Proficiency in SQL and data-visualisation tools
- Proficiency in Python
- Demonstrated experience building open-source Marketing Mix Models such as Robyn, Meridian, or LightweightMMM
- 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
- Genuine curiosity about AI and its applications in the work area
- Practical professional experience using AI tools
- Strong AI literacy, including prompting and critical evaluation of AI-generated output
- Awareness of ethical and responsible AI use, especially regarding sensitive data, customer experience, and compliance
- Prior experience using Claude is nice-to-have but not essential
Benefits:
- Unlimited annual leave
- Great healthcare
- Employee discounts
- Flexible remote-first work within your employing country
- Location-specific perks
- High-trust work environment and support to excel
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