Data Scientist

Reposted 4 Hours Ago
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Office, Lilongwe, Central Region, MWI
In-Office
Mid level
Artificial Intelligence
The Role
As a Data Scientist at Centific, you'll solve performance issues in ML models, design data science solutions, and innovate processes using advanced analytics.
Summary Generated by Built In

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.

Skills Required

  • Hands-on experience with NLP techniques/models
  • Deep understanding of text representation techniques and classification algorithms
  • Ability to design software architecture
  • Experience in developing and managing machine learning models
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The Company
HQ: Redmond, WA
2,900 Employees

What We Do

Zero distance innovation for GenAI creators and industries Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases. These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.

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