Data Scientist
Centific Open At a glance
Mid-level Data Science role at Centific. Singapore Office · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Improve machine and deep learning models by addressing accuracy and performance problems
- Turn business needs into modelling plans after checking data availability, feasibility and scalability
- Design and deliver data science solutions that meet business requirements
- Build and manage predictive, statistical and machine learning models for business and management stakeholders
- Apply data science methods to project work and help refine processes
What you bring
- Hands-on use of NLP methods for text representation, sentence classification and semantic extraction
- Strong knowledge of text representation, statistics and classification algorithms
- Ability to design software architecture
Who this fits
This role suits a data scientist who can work hands-on with machine learning and NLP while translating business needs into workable models. The position is based at the Singapore office.
From the employer
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
- 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.
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