
Senior Marketing Data Strategist
2 semanas atrás
As a senior data scientist, you will be responsible for refining methodologies to optimize marketing spend and decode performance across various channels.
Working in an agile environment, you will help shape marketing decisions with real autonomy and focus on measurable business outcomes.
Key Responsibilities- Develop and implement advanced marketing effectiveness measurement strategies, including MMM, incrementally/causal-lift testing, and geo-based experiments.
- Produce actionable insights to guide strategic choices and day-to-day optimization across multiple channels.
- Partner with cross-functional teams to steer the allocation of budgets and maximize impact in a competitive market.
- At least 3 years of experience in data science/analytics, with 2+ years focused on marketing effectiveness.
- Hands-on experience building and validating MMM models (e.g., adstock/saturation, regularization/priors, holdouts/back-tests).
- Practical expertise with incrementality/causal-lift testing and geo-experimentation (e.g., DiD, synthetic control, matched markets).
- Strong Python and SQL skills; comfort with common stats/ML libraries (e.g., pandas, NumPy, scikit-learn, statsmodels, PyMC).
- Ability to translate model outputs into budget recommendations, channel mix, and ROI/elasticity insights.
- Experience working with multi-channel marketing data (search, social, display, affiliates, TV/OOH, CRM/app).
- Be part of a collegial environment where responsibility and authority are shared equally amongst colleagues.
- A culture that encourages learning from mistakes.
- An Agile environment where your ideas are welcome.
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