Senior Data Scientist – Marketing Mix

This is a fully remote position, open to applicants in Greece.

📋 Description

• **A Typical Day in This Role:**

• - **Model Development:** Create and refine Marketing Mix Models to assess how media, promotions, pricing, seasonality, and other business factors influence performance.

• - **Measure Key Metrics:** Utilize regression, time-series, econometric, and ML methodologies to quantify incremental impacts, including carryover effects, saturation, diminishing returns, and response curves.

• - **Budget Optimization:** Formulate scenario-planning and optimization strategies to direct media budget allocation and investment choices.

• - **Results Analysis:** Examine assumptions, uncertainties, and business feasibility, moving beyond mere statistical fit by employing SHAP, diagnostics, and sensitivity analyses to elucidate the underlying drivers.

• - **Insight Communication:** Transform results into straightforward recommendations regarding channel performance, ROI, and budget strategy, catering to both technical and non-technical stakeholders.

• - **Collaborative Engagement:** Partner with Marketing, Commercial, Finance, BI, and Data Engineering teams to define inquiries, KPIs, and success metrics, while establishing clean, reproducible workflows.

• - **Elevate Standards:** Mentor junior colleagues and contribute to the development of reusable methodologies and best practices in Data Science.

⛳️ Requirements

• **Your Key Skills 🚀:**

• - Extensive professional background in Data Science, Marketing Science, Econometrics, or Commercial/Advanced Analytics, successfully executing end-to-end modeling projects that yield tangible business results.

• - Practical experience in one or more areas, including Marketing Mix Modeling, sales/demand forecasting, pricing and promotions analytics, econometric or time-series modeling, and budget/resource optimization.

• - Strong foundation in regression, statistical inference, hypothesis testing, feature engineering, and model validation, with comfort in handling trends, seasonality, and lagged effects.

• - Analytical mindset: capable of recognizing model limitations, questioning assumptions, and evaluating the statistical and commercial credibility of results.

• - Proficient in Python or R and SQL (including joins, CTEs, and window functions), utilizing libraries like pandas, NumPy, scikit-learn, statsmodels, or SciPy, along with explainability tools such as SHAP.

• - Strong understanding of commercial concepts (ROI, ROAS, incremental revenue, margin, market share) and comfortable collaborating directly with business-oriented teams.

• - Ability to autonomously structure and lead analytical projects, prioritize tasks, and communicate effectively with senior stakeholders.

• - Familiarity with Git or similar version-control systems.

• **Bonus Qualifications:**

• - Direct involvement in building or improving MMMs, along with knowledge of adstock, saturation, response curves, baseline decomposition, and incrementality.

• - Experience with constrained mathematical optimization (e.g., SciPy Optimize, CVXPY, Pyomo) and frameworks for MMM such as Google Meridian, Meta Robyn, or LightweightMMM.

• - Skills in causal inference, experimental design, geo-experiments, or incrementality testing, with comfort in both Bayesian and frequentist methods.

• - Familiarity with cloud and analytics platforms (Azure, AWS, GCP, Databricks, Microsoft Fabric, Snowflake) and exposure to MLflow, MLOps, or Spark/PySpark.

• - Experience with Generative AI or AI-assisted analytical workflows.

🏝️ Benefits

• **Incredible Perks:**

• - Competitive salary and a hybrid work model – enjoy time in our Athens office or work remotely from anywhere within the European Economic Area (EU, Switzerland, etc.) or the UK (up to 6 weeks per year).

• - Training budget to enhance your skills with top technology partners in the industry (Microsoft, AWS, Salesforce, Databricks, etc.) – whether for certifications or courses, we’ve got you covered.

• - Private insurance, premium tech equipment, and the opportunity to collaborate with an exceptional team.

• Ready to create some data magic with us? Hit that apply button and let’s get started.