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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Aptus Data Labs is a promising Decision Science and Advanced Analytics company. We are a mission-focused team of Data Analysts, Technology Experts, Business Domain Experts, Data Science Researchers, and Technology Architects, who have great knowledge in the field of Advanced Analytics. To enable our growth and technology breadth, Aptus is looking for the Data Scientist with the following skills and job descriptions. If you have the right skill, energy, and interest to work for a technology start-up firm, please respond with your profile and contact coordinates to SolutionDevelopment Platform: Data Science, Hadoop and Machine Learning Industries: Banking and Financial, Healthcare, Retail and Manufacturing Hands on Development and Complete Life Cycle experience on one of the Data Analytics Platform Environment like Rapid Miner, Python, R and other implementation like Google Analytics, Big ML and Azure ML. While most of these tools can be useful, a special concentration would be on Rapid Miner tool and knowledge of Python and R is also preferred. Utilize Rapid Miner, Python and R for Statistical Analysis as appropriately. Good understanding of both open source and commercial distributions available in the market. Should have strong implementation of experience of Predictive Analytics Algorithms like Clustering Algorithm Decision Tree Algorithm Linear Regression Algorithm Na ve Bayes Algorithm Neural Network Algorithm Sequence Clustering Algorithm Time Series Algorithm Also knowledge on the Python and R Packages for the following algorithms Machine LearningStatistical Learning; Cluster AnalysisFinite Mixture Models; Time Series Analysis; Multivariate Statistics; and Analysis of Spatial Data. Optimization and SegmentationKnowledge of PMML and ability to extend analytical algorithmsUtilize PMML to export and import models from Python, R and other platforms. Knowledge of Query language to support analytical models is a plus. Nice to have knowledge of other products on the Big Data Eco System Hadoop Hive HQL HBase Mahout Good Understanding of User Visualization needs of the AnalyticsShould have good written and spoken communication skills and should have played a client facing role Experience: 2-10 years of experience in data science. Qualification: B. E, B. Tech, M. sc, M. Tech in computer science,
Keyskills :
time series analysiscontinuous improvement facilitationbig datalife cycleopen sourcetime seriesdata sciencedata analyticscomputer sciencemachine learninggoogle analyticsequipment supplylinear regressio