Data Scientist

Role overview

CareCone Group is looking for a Data Scientist to work from Singapore in a full-time, on-site capacity. The role focuses on turning data into predictive insights, building machine learning solutions, and supporting analytics-driven decision-making.

What you will do

• Develop and apply statistical and machine learning methods to solve business problems.
• Write and optimize data workflows and analysis code in Python and SQL.
• Build predictive models and evaluate their performance using suitable validation techniques.
• Work with visual analytics tools to present findings in a clear and actionable format.
• Use cloud services and, where needed, distributed data platforms to handle large-scale datasets.
• Collaborate with stakeholders and communicate technical findings effectively.

What the role requires

You should hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related discipline. The position calls for 4–8+ years of experience in Data Science, Machine Learning, or Analytics. Strong hands-on knowledge of Python and SQL is expected, along with familiarity with modern ML libraries and a solid grounding in statistics, probability, and predictive modeling.

Technical environment

Experience with Scikit-learn, TensorFlow, PyTorch, or XGBoost is part of the preferred toolkit. Exposure to Power BI, Tableau, or Matplotlib for visualization is valuable. Cloud experience with AWS, Azure, or Google Cloud Platform is required, and familiarity with Spark, Hadoop, or Databricks is considered an advantage.

Additional expectations

Knowledge of MLOps practices, model deployment, and CI/CD pipelines is preferred. The role also requires strong analytical thinking, problem-solving ability, and clear communication skills.