Use mathematics, statistics and computer science to extract knowledge and insights from structured, semi-structured and unstructured data in order to assist our clientele to make better data driven decisions.
Conduct open research when necessary to develop new algorithms and methods to address specific needs a client might have to which no known algorithms or methods could suffice as a solution.
Engage in activities of requirement elicitation with our clientele in regards to potential data science workloads.
Mentor junior members on the team in data science.
Deliver machine learning models to clients and contribute in knowledge transfer.

All in all experience around 7 years.
5+ years of experience with Data Science workloads.
MSc in Computer Science or other equivalent quantitative field.
Familiarity with classification, clustering, regression and association rule mining.
Familiarity with one or more standard open source machine learning frameworks (Sklearn, Tensorflow, Keras, etc.).
Familiarity with Azure Cognitive Services and Azure ML.
Familiarity with AWS SageMaker.
Experience with deploying models to production.
Experience with monitoring models post production and detecting concept drift.
Familiarity with Deep Learning.
Extensive experience with Python.
Familiarity with conducting open scientific research.

Nice to Have

Principal Data Scientist

Key skills