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Centific

Data-driven AI solutions for business growth

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • Hands-on experience with natural language processing techniques and models for text representation, sentence classification, semantic extraction, data structures, and modeling.
  • Ability to design software architecture.
  • Deep understanding of text representation techniques, including n-grams, bag of words, and sentiment analysis, as well as statistics and classification algorithms.

Responsibilities

  • Apply data science knowledge to solve accuracy and performance issues in machine learning and deep learning models.
  • Translate business problems into data science models by analyzing feasibility, data availability, and solution scalability.
  • Evaluate, propose, design, and implement data science solutions to address business requirements.
  • Develop and manage advanced statistical, predictive, and machine learning models to provide technical services to management and business stakeholders.
  • Innovate processes by applying new data science techniques.
  • Participate in projects to develop cutting-edge analytic solutions.

About the Company

Centific

Data-driven AI solutions for business growth

Centific delivers data and AI-enabled, human-centered solutions to help brands solve complex business challenges. Its offerings span Generative AI, data collection, curation and annotation, localization, digital fraud and safety, and growth marketing. The company operates by combining data gathering and cleaning with AI models, localized adaptations, and safety controls to drive smarter decisions and growth, often incorporating human-in-the-loop processes for quality. Centific differentiates itself through more than two decades of Data and AI experience, a clear vision, operational excellence, and a focus on sustainable, long-term value and loyal customers. Its goal is to help brands thrive in a sustainable and meaningful way by enabling smarter operations and meaningful customer relationships.

Company size
1,001-5,000
Company stage
Series A
Total funding
$60M
Headquarters
Redmond, WA
Founded
2020

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