Your Role

Understand client business requirement and provide suitable approach to solve the business problem.
Identify and address client needs in different domains.
Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods.
Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques.
Help enhance data collection procedures to include information that is relevant for building analytical systems
Doing ad-hoc analysis and presenting results in a clear manner.
Follow and help improve with ‘Analytics-Delivery’ procedures using detailed documentations.

Your Profile

Good problem solver with a skill of solving business problem with analytics and data as primary means.
Experience in delivering data & analytics solution in one/two of the following areas preferably
Excellent coding experience in common data science language & tools such as R, Python, Go, SAS, Matlab etc.
Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc.
Hands on experience in using query languages such as SQL, NoSQL etc
Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised and unsupervised problems (such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI (LLM) etc.). Good applied statistics skills, such as distributions, statistical inference & testing, etc.
Good knowledge/ Experience of cloud platform e.g. AWS, Azure, GCP etc