Editorial

Editorial

The Editorial is the purest expression of Stears' peculiar editorial stance. It analyses issues, drawing on theory and empirics to outline the competing assumptions for issues; each time drawing conclusions that can be elicited, so as to give a comprehensive yet indefinite picture.

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Stears Intelligence is hiring a Machine Learning Developer

Editorial Board

Editorial Board

The Editorial is the purest expression of Stears' peculiar editorial stance. It analyses issues, drawing on theory and empirics to outline the competing assumptions for issues; each time drawing conclusions that can be elicited, so as to give a comprehensive yet indefinite picture.

Stears, after the launch of Nigeria's first real-time election database, is looking for an experienced data scientist to join Stears Intelligence: its data science and analytics team.

Your role and project may change quicker than you expect. The only constant is that you will lead processes from data collection, cleaning, and preprocessing to training models and deploying them to production. You will also help in delivering products that empowers governments, investors, researchers and professionals in their quest for accurate and accessible data and intelligence. 

Our ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. 

 

Your role

  • Developing machine learning models (and tuning their hyperparameters), along with metrics to track their progress and deploying them to production

  • Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability

  • Exploring and visualising data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

  • Assisting in the data acquisition process and finding available datasets online that could be used for training

  • Defining validation strategies, the preprocessing or feature engineering to be done on a given dataset and data augmentation pipelines  

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