Data Scientist
LocationSingapore Office
Work modeon-site
Company size1,001–5,000 people
PostedJan 22, 2024 · 2y ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Apply Data Science knowledge on solving the accuracy and performance issues in machine/deep learning models.
Translate the business problems into a data science modelling by analysing the feasibility, data availability, solution scalability
Evaluate, propose, design and implement data science solutions to address business requirements
Developing and managing advanced statistical, predictive, and machine learning models in providing technical services to a management and business stakeholders
Hands-on experience of NLP techniques/models for text representation, sentence classification, semantic extraction techniques, data structures and modelling
Ability to effectively design software architecture.
Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithm
Helping to innovate processes such as implementing creatively by applying new data science techniques
Participating in projects to bring the expertise and develop cutting-edge analytic solutions
Skills
Python
NLP
machine learning
deep learning
statistical modelling
predictive modelling
sentiment analysis
classification algorithms
About Centific
At Centific, people are at the center of our culture.We constantly seek out opportunities for people to enhance their skills,
and emphasize work-life balance for all our employees.We believe that competition can bring out the very best in people
– from our annual creative film and speech contests to our weekly office game tournaments,we mix work and play to engage our people and help our clients succeed.
About Job
Responsibilities
•
Apply Data Science knowledge on solving the accuracy and performance issues in machine/deep learning models.
•
Translate the business problems into a data science modelling by analysing the feasibility, data availability, solution scalability
•
Evaluate, propose, design and implement data science solutions to address business requirements
•
Developing and managing advanced statistical, predictive, and machine learning models in providing technical services to a management and business stakeholders
•
Hands-on experience of NLP techniques/models for text representation, sentence classification, semantic extraction techniques, data structures and modelling
•
Ability to effectively design software architecture.
•
Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithm
•
Helping to innovate processes such as implementing creatively by applying new data science techniques
•
Participating in projects to bring the expertise and develop cutting-edge analytic solutions
Join a growing company using technology to help tackle enterprises’ toughest challenges.