As a Lead Data Scientist you will be part of
the team that shapes Mango’s data intelligence, strategy and
architecture. You will develop state of the art data models and
algorithms to enable use cases that are very innovative in the retail
space, such as geoanalytics, robotization, omnichannel personalization,
the connected store, consumer 360º and real-time decisions.
We expect you to:
- Develop advanced mathematical and machine learning models to improve our core business processes and decisions: product, channels, supply chain and customer experience
- Use Spark to scale up your models and leverage MLOps tools to make them production ready
- Lead interactions with business stakeholders to ensure
proper alignment and adoption; and also own the delivery of the project
end-to-end
- Be passionate to work with a fast, iterative approach in new ideas and proofs of concepts
- Stay connected to the latest developments in Data Science and invest time in bringing new use cases and improvements to Mango
Requirements:
• Degree in Computer Science, Mathematics, Statistics or other quantitative fields
• Experience
in developing mathematical models and predictive algorithms (supervised
& unsupervised models, clustering, neural networks…)
• Experience
in scaling up models with distributed computing technologies like Spark
and its related libraries (e.g., MLlib)
• At least 3 years of development experience in Python and/or R
• Ability to own the delivery of a project, including communication with business stakeholders
