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Data Scientist

hace 2 meses


Madrid Centro, Madrid, España Moniepoint A tiempo completo
About Moniepoint

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

We are a profitable company, recognized by the Central Bank of Nigeria as the most inclusive payment platform in the country in 2022. Our mission is to drive financial inclusion and shape the future of the African financial ecosystem.

Your Opportunity and Mission

We are seeking a talented and passionate Data Scientist to join our Growth team. As a Data Scientist, you will play a key role in driving business growth through data science and optimization.

Key responsibilities include:

  1. Developing, testing, and productionizing attribution and predictive algorithms using state-of-the-art machine learning algorithms and optimization models.
  2. Contributing to attribution modeling, CAC/mCAC modeling, LTV prediction, marketing mix modeling, and multichannel attribution and testing.
  3. Designing experiments and interpreting results to draw detailed and actionable conclusions.
  4. Working in cross-functional teams across disciplines such as product, engineering, and business.
  5. Developing, testing, and owning production marketing attribution models for better budgeting and increased marketing efficiency.
Requirements

To be successful in this role, you will need:

  1. 5 years of professional experience in a quantitative analysis role in top companies, preferably in FMCG or Fintech.
  2. A Master's degree or PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science, or Mathematics.
  3. Deep theoretical and applied knowledge in statistical inference, Bayesian statistics, causal inference, time series analysis, and mathematical optimization.
  4. Extensive experience in multichannel attribution modeling and marketing mix modeling.
  5. 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.
  6. Experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance.
  7. Excellent data modeling and SQL skills, and familiarity with Cloud infrastructure.
  8. Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.).
  9. Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights.
  10. Excellent spoken and written English.
What We Offer

We offer a dynamic, diverse, and collaborative environment where every team member's voice is recognized and valued. Our benefits include:

  1. The opportunity to drive financial inclusion and shape the future of the African financial ecosystem.
  2. The chance to work on innovative and impactful projects.
  3. Flexible work arrangements.
  4. Continuous learning and career growth opportunities.
  5. Competitive salary, individual performance bonuses, and firmwide performance bonus.
  6. Company-covered health insurance plans.
  7. Pension plans.
What to Expect in the Hiring Process

The hiring process will involve:

  1. A preliminary phone call with one of our recruiters.
  2. A general interview with the Senior Manager of Marketing Strategy.
  3. A case study-based discussion with the SVP of Marketing.
  4. A behavioral interview with members of the Executive team.

Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.