Not specified (assumed to be hybrid based on the company's flexible work culture).
Master's degree in statistics or computer science
Proficiency in r, sas, spss, python, or cplex
Experience with machine learning and neural nets
Hewlett Packard Enterprise is seeking a Data Scientist in Singapore, who will be responsible for developing and applying analytics models to transform data into actionable insights. The ideal candidate should possess strong technical skills in data science methodologies and programming, along with effective communication abilities
Job Summary
The role involves designing and applying advanced analytic models to transform structured and unstructured data into meaningful insights for decision making.
Candidates will build, validate, and enhance models while creating visualizations to communicate complex findings to stakeholders.
Hewlett Packard Enterprise values varied backgrounds and offers flexibility to manage work and personal needs within a culture that embraces bold moves.
Matching Summary
Match Score: 85
Hewlett Packard Enterprise is seeking a Data Scientist in Singapore, who will be responsible for developing and applying analytics models to transform data into actionable insights. The ideal candidate should possess strong technical skills in data science methodologies and programming, along with effective communication abilities.
Skills & Requirements
Must-have
Master's degree in Statistics or Computer Science
Proficiency in R, SAS, SPSS, Python, or Cplex
Experience with machine learning and neural nets
Knowledge of ETL tools like Informatica or Talend
Ability to translate business requirements into models
Nice-to-have
Strong communication and presentation skills
Experience working across geographical boundaries
Background in operations research or process analysis
Interpersonal effectiveness in team settings
Key Requirements
Master's degree preferred or Bachelor's with 2-3 years experience
Working knowledge of data science methodologies including regression and cluster analysis
Solid background in analytics software and data visualization techniques