Only North location candidates can apply or who have worked or studied earlier in north.
Role And Responsibilities Overview
Complete understanding of the current state of affairs and problem statement
Analyze business requirement and translate into technical requirements by interacting with multiple stakeholders
Develop complex Image Classification/Analytics models using advanced ML algorithms like Nave Bayes, k-means, KNN and other Deep Learning concepts
Perform necessary model building steps including Univariate, Multi-variate analysis, feature engineering in Python
Develop codes to productionalize the models and hand over to client stakeholders
Performa model monitoring, enhancement as per the feedback, data update and work towards automating the refreshes.
Develop and implement reporting and analytic tools to communicate the model construct, results
Prepare and present work products, results and business recommendation on the basis of developed models to business stakeholders.
Prepare detailed documentation around model, process and maintain it from time to time
Guide other team members and contribute in enhancing their proficiency
Continuously work towards identifying areas of improvement in current processes and recommend solution to improve
Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
4+ years' experience in data analytics
Experience in working dual shore client environment
Experience in directly managing the clients
Expert Level Knowledge in Python (including libraries like Numpy, Scikit, Pandas, Scipy, Scikit-Image, OpenCV etc)
Knowledge of data engineering tools is an added advantage (like SAS, SQL etc)
Expert level Data analysis and model development experience.
Good analytical and problem solving skills.
Outstanding written and verbal communication skills.
Able to work in fast pace continuously evolving environment and ready to take up uphill challenges.
Is able to understand cross cultural differences and can work with clients across the globe.