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| Job Location | Hyderabad, Mumbai City |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Banking / Financial Services |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Data Scientist with experience in AI/Machine Learning, Deep Learning and NLP having BE/BScIT/MCA/BCAResponsibilities :He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R, Python, Spark, H2O, Aster etc.- Work closely with data engineers, BI and UI specialists and deliver top notch analytical solution for the bank.Essential Requirements :- Excellent command over supervised, unsupervised and semi-supervised techniques including but not limited to Random Forest, GBM, Ridge-Lasso-ElasticNet, XGboost etc. Time-series techniques like Arima (and the family), Arch, Garch etc.- Experience with Deep-learning, Artificial intelligence techniques like ANN, CNN, DNN, RNN etc. and how to strategize deep-learning layer and activations.- Experience implementing machine learning algorithms such as support vector machines, decision trees, logistic regression, clustering, neural networks, graphical models etc.- Excellent understanding of model metrics including AUC, ROC, CAP-curve, F-statistics etc. with clear understanding of how model performance is tuned- Strong programing skills.- Expertise in analytic tools : R, Python, Scala, Java, SAS- Big Data skills - Aster, Hadoop, SPARK, H20 and various big data distributions like Hortonworks and MapR- NLP, Text mining, Image/Voice processing, digital analytics, deep learning, machine learning- Demonstrate excellent organization skills throughout the development of analytical solutions (data analysis documentation, hypothesis documentation, code management, etc.).- Data Engineering- Sql, Teradata, Hadoop, Spark- Exploratory Data analysis- Provide exploratory data analysis using Python/R/SAS / SQLDesired Qualification :- Strong collaboration skills- Output deployment using appropriate technologies (HTML5, Shiny, Django)- Working expertise in Tensorflow, Keras or Pytorch would be added advantage- Ability to translate analytical data into useful business information- Critical thinking and strong problem solving skills- Ability to learn the business aspects quickly- Ability to multi-task and prioritize between projects- Ability to work independently and as part of a team,
Keyskills :
machine learningpythondata analysissqlanalyticssource system analysisexploratory data analysisbig datatext miningdeep learningdecision treesproblem solvingneural networksgraphical modelsdigital analytics