Data Scientist

3 days ago


Singapore Neo Group Limited Full time
Job Summary

As a Data Scientist at Neo Garden, you will be a key player in the development and implementation of AI models that will optimize various aspects of our catering services. You will work collaboratively with cross-functional teams to extract insights from data, build predictive models, and drive data-driven decision-making processes.

Key Responsibilities

Data Analysis and Exploration:

  • Collaborate with business stakeholders to understand data requirements and identify opportunities for AI application.
  • Analyze large datasets to derive meaningful insights that contribute to business strategy and decision-making.

Model Development And Implementation

  • Design, develop, and implement machine learning models and algorithms to address business challenges and improve operational efficiency.
  • Optimize and fine-tune models for enhanced performance and accuracy.

Data Integration

  • Work with the IT team to integrate AI models into existing systems, ensuring seamless functionality and real-time data processing.
  • Collaborate with data engineers and data analysts to optimize data pipelines for model deployment.
  • Enhance data collection procedures to include all relevant information for developing analytic systems

Validation And Testing

  • Conduct thorough testing and validation of models to ensure accuracy, reliability, and robustness.
  • Monitor and analyze model performance, adjusting as necessary to maintain optimal results.

Collaboration And Communication

  • Collaborate with cross-functional teams, including technology, marketing, and operations, to understand business needs and align AI initiatives accordingly.
  • Communicate complex technical concepts and findings to non-technical stakeholders clearly.

Qualifications

  • Proven experience as a Data Scientist, with a focus on machine learning and AI applications.
  • Strong programming skills in languages such as Python or R.
  • Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Familiarity with data visualization tools and techniques.
  • Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
  • Problem-solving aptitude
  • Solid understanding of statistical concepts and methodologies.

Education And Experience

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Minimum of 2 years of experience in data science or related roles.


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