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Job Location | Hyderabad |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | General / Other SoftwareSales / BD |
EmploymentType | Full-time |
Are you looking for exciting role and work with global leading investment banking firm Come work as a Senior / Lead Quant Analyst at growing company that offers great benefits with opportunities to advance and learn alongside accomplished leaders, For Leading Global investment firm Franklin Templeton (FT) in collaboration with technology services company Innova Solutions. Position Overview: Data scientists utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. They then use this information to develop data-driven solutions to difficult business challenges. Data scientists commonly have a bachelors degree in statistics, math, computer science, or economics. Data scientists have a wide range of technical competencies including statistics and machine learning, coding languages, databases, machine learning, and reporting technologies. Job Overview: We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities for Datascientist: Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Qualifications for Data Scientist:
Keyskills :
analytics banking businessintelligence clustering customerrelations socialnetworkanalysis artificialneuralnetworks datamining textmining datamodels adtargeting decisiontrees problemsolving neuralnetworks businessobjects computerscience mac