Skillsets Qualification
Candidate who has attained a Graduate degree in Computer Science Statistics Informatics Information Systems or another quantitative field.
Understanding of data mining mathematics and statistical analysis
Understanding of pattern recognition and predictive modeling experience
Hands on knowledge with Excel SQL PowerPoint Tableau Qlik Sense PowerBI and programming languages (i.e. Java/Python SAS)
Strong Logical thinking.
Comfort working in a dynamic researchoriented group with several ongoing concurrent projects
Professional certifications will be added advantage.
Responsibilities Work as the data strategist identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables
Devise and utilize algorithms and models to mine big data stores perform data and error analysis to improve models and clean and validate data for uniformity and accuracy
Provide Quality visualization to back data story which will help in data driven decisions.
Analyze data for trends and patterns and Interpret data with a clear objective in mind
Implement analytical models into production by collaborating with software developers and machine learning engineers.
Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
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