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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Management Consulting / Strategy |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Roles and Responsibility : Education and/or Experience: Bachelors Degree in Data Science, Computer Science, Statistics, Mathematics or similar quantitatively intense discipline required. Technical Skills: Mandatory :Experience on Rapidminer, SQL,Python Proficient in high performance Python and Python based data analytics tools such as parallel python packages, Pandas,. Proficient SQL. Minimum of three (3) years of experience ing data science and/or other advanced analytics methods to very-large scale information sources required. Four years is preferred. Expertise in relevant data science or analytical methods, particularly as applied in the healthcare domain, may reduce time-in-position requirement. Prior hands-on experience developing, ing, and interpreting results from successful (i.e., practical and impactful) analytics projects. Working knowledge of data science tools and methods, including machine learning and predictive modeling. Demonstrated proficiency with at least one of the following tools is required: Python, RapidMiner, The ability to design and multiple advanced data mining, statistical analysis, and predictive modeling methods under limited guidance from senior data scientists or the Executive Director is required. Experience on Statistica, AnyLogic, or BayesiaLab or experience with similar tools will be considered. Role and Responsibilities: Demonstrated track record of being highly accountable for results; able to deliver quality work while managing multiple priorities and acting with a sense of urgency. Communicates effectively (in English) both written and oral with strong interpersonal skills Work with large, complex, relational databases is required. Work with data extraction, data manipulation, and reporting is required. Responsible for advanced problem-solving skills in the business environment. Describe analytically-derived findings to mid-level or senior leadership is required. Truth-seeking; knows how to uncover the truth through analytics/data Skilled at identifying and assessing opportunities. ,
Keyskills :
strong interpersonal skillsdata miningdata sciencedata analyticsproblem solvingdata extractioncomputer sciencemachine learningdata manipulationcommercial models