Kyndryl | Jobs | Data Scientist | BigDataKB.com | 12-02-22

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    Job Location: Chennai

    As a Data Scientist you be part of our growing team of data scientists and experts. You will be responsible for expanding and optimizing our data models , prediction algorithms correlation algorithms as well as text analytics models. You will support our software developers , data engineers on building and enhancing models. You must be self- directed and comfortable supporting the data needs of multiple teams , systems and products. The right candidate will be excited by the prospect of optimizing or even re- designing our real time anomaly detection , correlation and forecasting models. You will be working on a aBig Data Architecture. The solutions developed by you would be highly scalable leveraging that needs to be run in Kubernetes Container environment.

    Proficiency in at least one statistical tool language (R, Python) with a strong preference towards Python. Deep expertise in statistical, machine learning and deep learning techniques including but not limited to classification, Regression, Anomaly Detection, Multivariate Correlation, Forecasting, Optimization, Topic Modelling, Clustering, False Positive/False Negative Reduction, Imbalance Class Problems, Novelty Detection, Casual Inferences, Statistical Tests, Evaluation Methodologies, etc. Thorough understanding and experience in ML algorithms including but not limited to Decision Tree, Random Forest, Naive Bayes, Support Vector Machines, XGBoost, Logistic Regression, etc. Degree in Statistics, Mathematics, Computer Science or another quantitative field with 8-10 years of experience in manipulating data sets and building statistical models
    Experience in using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets

    Bachelor s degree in Computer Science, Mathematics, Physics, Computational Linguistics, or related field. Experience with open-source distributed data processing frameworks, such as Spark. Experience working in a Linux environment

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