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- Data Scientist with experience in developing and deploying Image recognition models
- Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or an equivalent discipline required
- Experience in developing models and algorithms in a commercial environment with a track record of creating meaningful business impact
- Experience in developing ML Ops pipelines
- Experience with SQL and Python skills required; proficiency in at least one open-source programming language (R, Java, C or another) desirable
- Strong on data analysis and visualization.
- Expertise in multivariate statistical modelling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.) required
- Expertise in presenting model performance insights using visualization software (Plotly preferred)
- Experience with cloud computing platforms (Azure, Google Cloud Platform or AWS), or equivalent on-premise platform
- Ability to simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple stakeholders / business areas.
- Experience with neural networks and deep learning, using frameworks such as TensorFlow, desirable