Bachelor’s or Master’s degree in Engineering or STEM fields
2 + years of relevant experience in Data Science, Analytics, or Data Management.
Passion for Data Science, including Machine Learning, Artificial Intelligence, and Operations Research.
Strong knowledge of Machine Learning methods.
Excellent communication and collaboration skills.
Strong analytical and critical thinking abilities.
Proficient in programming, with extensive experience in Python and SQL.
Knowledge of the CPG/FMCG industry is a plus.
Strong proficiency in Python programming with experience in data analysis libraries (e.g. NumPy, Pandas, Matplotlib ) and familiarity with data manipulation techniques. (Must)
In-depth knowledge of machine learning algorithms (e.g. supervised learning - linear regression, random forests, support vector machines, unsupervised learning - k-means clustering, principal component analysis, deep learning - convolutional neural networks, recurrent neural networks ). (Must)
Experience with cloud platforms (e.g. AWS Sage Maker, GCP AI Platform, Azure Machine Learning ) for model training and deployment (a plus).
Experience with version c ontrol systems (Git) and familiarity with continuous integration/continuous delivery (CI/CD) pipelines.
Experience with database technologies (SQL and NoSQL) for data storage and retrieval (a plus).
Working knowledge of Linux operating systems and familiarity with the command line.
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