Snaphunt Pte Ltd – Data Scientist

Company
Snaphunt Pte Ltd
snaphunt.com
Designation
Data Scientist
Date Listed
07 Apr 2026
Job Type
Entry Level / Junior Executive
Full/Perm
Job Period
Immediate Start, Permanent
Profession
IT / Information Technology
Industry
Computer and IT
Location Name
Singapore
Allowance / Remuneration
$800 - 1,500 monthly
Company Profile

Our client has been featured in media outlets such as CBS News, Digital Journal, and Go Banking Rates. Check us out – you’ll know we’re the place to be.

Job Description

What the job entails:

  • Collect, clean, and preprocess data from various sources, such as databases, APIs, web scraping, or surveys
  • Explore and analyze data to discover patterns, trends, and anomalies, and generate hypotheses and questions
  • Build and test predictive models and machine learning algorithms, using tools such as TensorFlow, PyTorch, or Scikit-learn
  • Evaluate and optimize the performance and accuracy of the models and algorithms, and fine-tune the parameters and features
  • Deploy and integrate the models and algorithms into production systems and applications, using tools such as Flask, Docker, or Kubernetes
  • Create and deliver data products and solutions, such as dashboards, reports, and visualizations, using tools such as Plotly, D3.js, or Shiny
  • Communicate and explain complex data and findings to various stakeholders and audiences, using clear and compelling language and visuals
  • Conduct research and experiments on new and emerging data science, machine learning, and artificial intelligence techniques and technologies, and apply them to business problems and opportunities

 

Job Requirements:

  • Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; or equivalent work experience
  • Minimum of 5 years of experience in data science, machine learning, or a similar role, preferably in a tech or consulting industry
  • Expertise in data science, machine learning, and artificial intelligence concepts, methods, and techniques, such as regression, classification, clustering, natural language processing, computer vision, or deep learning
  • Proficient in programming languages and frameworks, such as Python, R, Java, or C++
  • Proficient in data analysis and manipulation tools and libraries, such as SQL, Pandas, or NumPy
  • Proficient in machine learning and deep learning tools and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Keras
  • Proficient in data visualization and presentation tools and libraries, as Plotly, D3.js, Shiny, or Matplotlib
  • Excellent communication, presentation, and storytelling skills, with the ability to communicate effectively with diverse stakeholders and audiences
  • Strong analytical, problem-solving, and creative thinking skills, with the ability to use data and logic to support decisions and recommendations
  • Ability to work in a fast-paced, dynamic, and innovative environment, and manage multiple projects and deadlines
  • Curiosity, passion, and enthusiasm for data science, machine learning, and artificial intelligence, and their applications and implications

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