Data Scientist Data Scientist …

Cognizant
in Singapore
Permanent, Full time
Last application, 28 Jan 21
Competitive
Cognizant
in Singapore
Permanent, Full time
Last application, 28 Jan 21
Competitive
Cognizant
Data Scientist
Position Summary:
Data Scientist will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches.

Roles and Responsibilities:

  • Work closely with business to identify issues and use data to propose solutions for effective decision making
  • Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization
  • Use machine learning tools and statistical techniques to produce solutions to problems
  • Test data mining models to select the most appropriate ones for use on a project
  • maintain clear and coherent communication, both verbal and written, to understand data needs and report results
  • Create clear reports that tell compelling stories about how customers or clients work with the business
  • assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
  • Horizon scan to stay up to date with the latest technology, techniques and methods
  • Conduct research from which you'll develop prototypes and proof of concepts
  • Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the Benefit of your work.Research and develop statistical learning models for data analysis
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design

Mandatory Skills:

  • Master's Degree in Computer Science, Statistics, Applied Math or related field
  • 3+ years' practical experience with SAS, ETL, data processing, database programming and data analytics
  • Extensive background in data mining and statistical analysis
  • Able to understand various data structures and common methods in data transformation
  • Excellent pattern recognition and predictive modeling skills
  • Experience with programming languages such as Java/Python an asset


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