Olive Jobs
Moniepoint logo

Data Science Manager (Credit)

Moniepoint

NigeriaRemoteFull-timeNo compensation foundPosted 1mo agoVerified open 5 days ago
Evaluate my fit

Most applications go out cold — see where you stand first. No sign-up to start.

Don't just apply. Show up ready.

Olive works from this exact posting — no sign-up to start.

Evaluate your fitSee where you stand — strengths, gaps, and what to fix first.Get started →Tailor your résuméRewritten against this posting, with a diff of every change.Get started →Practice the interviewA voice mock interview built from this job description.Get started →

At a glance

Compensation
No compensation found
Location
NigeriaRemote
Schedule
Full-time
Work Authorization
Not specified

Job overview

Moniepoint is hiring a Data Science Manager (Credit). Moniepoint is seeking a talented and passionate Data Scientist to join their Growth team. This role focuses on leveraging data science and optimization to drive business growth. The Data Scientist will build and own critical models, including attribution and marketing mix models, for a leading digital financial services platform in emerging markets.

Key focus areas include Develop, test and productionize attribution and predictive algorithms using state-of-the-art machine learning and optimization models, Contribute to attribution modeling, CAC/mCAC modeling, LTV prediction, marketing mix modeling, and multichannel attribution and testing, and Design experiments and interpret results to draw detailed and actionable conclusions.

Successful candidates bring 5+ Years Professional Experience, MSc In Scientific Discipline, and Fluent English. Important skills include Attribution Modeling, Marketing Mix Modeling, Statistical Inference, Bayesian Statistics, Causal Inference, and Time Series Analysis. Preferred (not required): CAC/mCAC Modeling, LTV Prediction, and Multichannel Attribution And Testing.

Skills & qualifications

RequiredNice to have

Skills

Attribution ModelingMarketing Mix ModelingStatistical InferenceBayesian StatisticsCausal InferenceTime Series AnalysisMathematical OptimisationPythonPandasSciPyXGBoostJupyter/iPython NotebooksPyMC3Data ModelingSQLCloud InfrastructureDesigning ExperimentsAnalyzing ExperimentsA/B TestMultivariate TestingStatistical ModelingAdvanced AnalyticsSpoken EnglishWritten EnglishCAC/mCAC ModelingLTV PredictionMultichannel Attribution and Testing

Qualifications

5 Years Professional Experience in Quantitative AnalysisMSc in Scientific DisciplinePhD in Scientific Discipline

Full job description

Moniepoint is an all-in-one digital financial services platform for businesses in emerging markets. Since 2019, Moniepoint’s technology has powered over a million businesses, offering all the payment, banking, credit, and business management tools they need to succeed.

Moniepoint Inc through its subsidiaries in Nigeria Moniepoint MFB, and TeamApt Ltd, currently processes the majority of the POS transactions in Nigeria, processing over $170 billion in annualized TPV. It is Africa’s second-fastest growing fintech, is profitable and was recognized by the CBN as the most inclusive payment platform in the country in 2022.

YOUR OPPORTUNITY AND MISSION

We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint’s business growth and the Data Scientist joining will have the opportunity to build and own the most important models including our attribution and marketing mix models

  • Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation 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 the results to draw detailed and actionable conclusions

  • Work in cross-functional teams across disciplines such as product, engineering and business.

  • Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency

YOU HAVE

  • 5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred.

  • Holds 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 the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation.

  • Extensive experience at least 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

  • Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure.

  • Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.)

  • Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights

  • Excellent spoken and written English

You've read the whole posting — now see how you match it.

Evaluate my fit
Data Science Manager (Credit) at Moniepoint | Olive Jobs