Senior Data Scientist (Marketing Mix)
New
S
Satori AnalyticsData Science & AI
Come hang out in our Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UKFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLGitMachine LearningR
Requirements
- Strong professional experience in Data Science, Marketing Science, Econometrics, or Commercial/Advanced Analytics.
- Hands-on experience in one or more of: Marketing Mix Modeling, sales/demand forecasting, pricing & promotions analytics, or time-series modelling.
- Solid grounding in regression, statistical inference, hypothesis testing, feature engineering, and model validation.
- Strong Python or R and SQL skills (joins, CTEs, window functions).
- Experience with data science libraries such as pandas, NumPy, scikit-learn, statsmodels, or SciPy.
- Familiarity with explainability tools like SHAP.
- Fluent in commercial concepts (ROI, ROAS, incremental revenue, margin, market share).
- Ability to independently structure and lead analytical workstreams and manage priorities.
- Experience with Git or another version-control system.
- Ability to communicate clearly with senior stakeholders.
Responsibilities
- Develop and enhance Marketing Mix Models to estimate the impact of media, promotions, pricing, seasonality, and other business drivers.
- Apply regression, time-series, econometric, and ML techniques to measure incremental impact, modelling carryover, saturation, and response curves.
- Develop scenario-planning and optimization approaches to guide media budget allocation and investment decisions.
- Evaluate model assumptions, uncertainty, and business plausibility using diagnostics and sensitivity analysis.
- Translate outputs into clear recommendations on channel performance, ROI, and budget strategy for technical and non-technical audiences.
- Partner with Marketing, Commercial, Finance, and Data Engineering teams to define KPIs and operationalize workflows.
- Support less-experienced colleagues and contribute to reusable methodologies and best practices.
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