Data Scientist for Business Growth and Optimization

hace 1 mes

Madrid, Madrid, España Https:Www.Energyjobline.ComSitemap A tiempo completo

**About Moniepoint**

Moniepoint is a leading digital financial services platform for businesses in emerging markets. With a strong presence in Nigeria, Moniepoint has powered over a million businesses, offering a wide range of payment, banking, credit, and business management tools to help them succeed.

**Our Mission**

We are looking for a talented Data Scientist to join our Growth team. Data science and optimization are key drivers for Moniepoint's business growth, and the successful candidate will have the opportunity to build and own critical models, including attribution and marketing mix models.

**Key Responsibilities**

  • Develop, test, and productionize attribution and predictive algorithms using state-of-the-art machine learning algorithms and optimization models.
  • Contribute to one or more of the following areas: attribution modeling, CAC/mCAC modeling, LTV prediction, marketing mix modeling, and multichannel attribution and testing.
  • Design experiments and interpret results to draw detailed and actionable conclusions.
  • Work in cross-functional teams across disciplines such as product, engineering, and business.
  • Develop, test, and own production marketing attribution models for better budgeting and increased marketing efficiency.

**Requirements**

  • 5 years of professional experience in a quantitative analysis role in top companies, preferably in FMCG or Fintech.
  • Hold at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science, or Mathematics.
  • Deep theoretical and applied knowledge in statistical inference, Bayesian statistics, causal inference, time series analysis, and mathematical optimization.
  • Extensive experience in multichannel attribution modeling and marketing mix modeling.
  • Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks, and well-known modeling packages such as PyMC3.
  • Excellent spoken and written English.

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