Work with project owners and stakeholders to interpret client objectives and offer data-backed solutions
Mine and analyze data from large databases or flat files
Assess the effectiveness and accuracy of new data sources to address client objectives
Develop custom machine learning models across multiple applications
Coordinate with stakeholders to implement models and monitor outcomes
Develop processes and tools to monitor and analyze model performance, accuracy, and drift
Understand and interpret A/B testing results related to deployed models

Чем Вы должны обладать

Обязательно

Regularly creates, deploys, and uses machine learning algorithms to solve business objectives
Familiar with translating business objectives into (predictive) models
Familiar with objective function minimization and product-driven model development
4+ years coding experience in Python with strong capabilities in major frameworks such as Pandas, sklearn
Experience building data science pipelines to ingest, transform and extract value from data
Strong capability describing data distributions using statistical methods
Strong knowledge of SQL
Accomplished at combining data from multiple sources by grouping/aggregation to produce desired datasets
Expert at visualizing/presenting data for stakeholders
Strong communication skills especially describing technical work during weekly progress meetings

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