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SeniorFull-timePythonRustData ScienceAIData
Salary Range
$190,000 - $215,000 /year
About the Role
We are looking for an experienced Marketing Data Scientist to lead analytics and measurement across both lower and upper funnel marketing channels. This role involves setting the direction for what should be measured, how it should be measured, and how marketing insights should inform decisions across growth strategy, spend allocation, and creative effectiveness.
Key Responsibilities
- →Act as the senior analytical authority for Marketing/UA setting measurement strategy, prioritising work, and guiding stakeholders on “what good looks like” across channels and markets.
- →Own and evolve best practices and standards for attribution and measurement across privacy constraints, incrementality and experimentation, performance monitoring and outcome reporting, and budget allocation decision support.
- →Provide thought leadership on modelling approaches such as MMM, cohort-based LTV modelling, payback/ROI, and quality-adjusted acquisition metrics.
- →Partner with Data Engineering / Analytics Engineering to ensure marketing data is reliable, scalable, and supports multiple outputs.
- →Translate ambiguous stakeholder needs into crisp analytical briefs, proactively shaping scope, asking the right questions, and staying focused on the “so what” and decision impact.
- →Mentor analysts and data scientists; raise the bar on critical thinking, commercial acumen, and disciplined execution across the marketing ecosystem.
- →Bring an integrated perspective: connect channel performance to business health metrics, downstream conversion, retention, and marketplace quality.
Requirements
- ✓Significant experience in marketing analytics / growth / UA data science (typically 5+ years, or equivalent depth), ideally in a high-scale consumer tech environment.
- ✓Deep knowledge of mobile attribution and tracking, channel-level nuance, incrementality testing best practices and causal thinking, MMM, and LTV / cohort modelling.
- ✓Strong Python and SQL skills; ability to build repeatable analytical workflows and robust datasets.
- ✓Strong communication and stakeholder leadership. Able to influence decision-making up to senior/executive level and align cross-functional partners on measurement strategy.
- ✓Experience partnering with data engineering on ingestion, warehousing, and data model requirements for automated reporting and measurement.
- ✓Strong commercial judgement: you understand how marketing choices impact revenue, retention, marketplace health, and long-term growth.
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