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| Job Location | Noida |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other Software,Sales / BD |
| EmploymentType | Full-time |
, Education - Graduate , Experience - 2-4yrs The CIBA Data Scientist (B1) is someone who manages the process of analyzing data from different perspectives and summarizing it into useful information & finding correlations or patterns among various fields in large relational databases. The Lead Analyst would need to identify relationships in the dataset and look for patterns in the data like classes, clusters, associations & sequential patterns and provide useful analytics and forecasting to the business. Detailed Responsibilities Apply Text mining to handle unstructured data to derive business insights Implement Machine Learning techniques like Neural Network, Clustering (like k-means, hierarchical), Dimension reduction (e.g. PCA) with high accuracy as per industry standards. Develop and facilitate internal training serving as faculty for above skill. Identify opportunities, refine existing offerings and/or create new offerings. Derive problem statement from ambiguous data, create hypothesis, use analytics technology and tools to test hypothesis and form conclusions Active involvement in coaching and mentoring team on this skill and also engage in stakeholder interactions on regular basis. To be able to provide view & support clients as required in areas like Productivity, Cost Reduction and Data driven analytics etc. Effective coordination with onshore analytics consultants ,software developers (as appropriate), business partners or customers, business consultants Role-specific Technical Skills and Knowledge 2+ years of overall working experience on R, Python or any different data mining tool (Advanced Excel, SQL) Excellent technical expertise in all the areas of Descriptive, Predictive and Prescriptive Analytics including Optimization Analytics, Stochastic Models, Simulation & Advanced Machine Learning Algorithms. Roles & Responsibilities: Great expertise in Project management, business know-hows and stakeholder management to identify risk and opportunity areas around this skillset Perform data sampling, preparation and data pre-processing to perform further analysis. Perform descriptive and inferential statistics to summarize datasets. Good hands on knowledge of different predictive modelling/Data mining techniques like Feature Engineering, Logistic Regression, Decision Tree, K-Means, Hierarchical Clustering, Linear Regression, GBM, Conjoint Analysis, Text Analytics, Artificial Neural Networks, Holt Winter, ARIMA, RFM, SVM, Ridge, Spline, LASSO etc. Should have built predictive models on the dataset and provide useful business insights using model results. Performed predictive model performance tests and used the results of one predictive model into another model. Should have undertaken 2 or more end to end implementations of analytical solutions or models single-handedly no supervision. Familiar with machine learning concepts including supervised and unsupervised techniques. Exposure to techniques like forecasting, predictive techniques, classification techniques and segmentation highly desirable Handful experience to mine huge amount of data using Big Data tools like Hadoop, PIG, HIVE, etc. Sound data visualization skills using tableau, Excel or other visualization tools like RShiny; Effective project management, presentation and communication skills Qualifications:,
Keyskills :
artificial neural networksbig datadata miningtext miningtext analyticscost reductionneural networksmachine learningtechnical skillslinear regression