Roles and Responsibilities
- Must have Solid Data Science experience across large projects.
- Experience working on Proofs of Concept and Prototyping environment and the ability to scale them gradually.
- Excellent communication skills to communicate and effectively present findings from data.
- Ability to meet deadlines and manage project delivery.
Desired Candidate Profile
To qualify for the role, you must have
- Degree in Engineering, Science, or a similar Quantitative field, preferably with a related postgraduate degree or Ph.D.
- Exploratory data analysis skills.
- Knowledge and experience with machine learning algorithms (supervised and unsupervised).
- Knowledge of statistical techniques to support exploratory findings and conclusions
- Strong experience in one of the programming languages used in data science (Python, R, MATLAB or similar).
- Experience with some of the related packages Numpy, Pandas, Matplotlib, scikit-learn, TensorFlow, etc.
- Experience with Machine learning / Deep learning, such as Deep Neural Networks, Tensorflow, Caffe, Keras, PyTorch.
- Experience with artificial intelligence techniques: image recognition, NLP, text mining, chatbots.
- Experience in deploying machine and deep learning solutions.
- Experience in the design of analytical models: (Decision Trees, Scoring, Clustering, pattern discovery, trends, regressions, Deep learning...).
- Experience of Agile and traditional SDLC delivery methodologies.
- Excellent communication skills.