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Jobscentral

Data Scientist / Machine Learning Engineer

Jobscentral
Singapore · Full-time · Entry
We are looking for a highly skilled Data Scientist / Machine Learning Engineer to join our team on a fully remote basis. The ideal candidate will have a strong background in machine learning, data analysis, and model deployment, with experience in building predictive models and data-driven solutions. If you have a passion for turning raw data into actionable insights, we'd love to hear from you!

Roles & Responsibilities

Model Development & Implementation

  • Implement segmentation models (K-Means, DBSCAN, GMM, AutoML)
  • Develop churn prediction algorithms (Logistic Regression, XGBoost)
  • Build recommendation engines (Collaborative Filtering, Deep Learning)
  • Design sales forecasting models (ARIMA, LSTM, Prophet)

Analysis & Optimization

  • Prepare and clean customer data (Pandas, SQL)
  • Select optimal hyperparameters and validate models
  • Monitor model performance and suggest improvements

Deliverables & Visualization

  • Create interactive dashboards with Power BI / Streamlit
  • Generate detailed analytical reports with recommendations
  • Skills & Experience

Soft Skills

  • Ability to explain results to non-technical stakeholders
  • Analytical mindset and autonomy in a remote work environment

Functional/Technical

  • Master's degree (or equivalent) in Data Science, Machine Learning
  • 3+ years of experience in modelling and ML
  • Consulting experience in data is a plus
  • Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch)
  • Strong SQL skills for data extraction and structuring
  • Experience with Power BI / Tableau for data visualization
  • Familiarity with API development and deployment using Flask/FastAPI (a plus)

Key Skills

Ranked by relevance

machine learning power bi pandas data analysis tableau python numpy sql
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Country Guide

Singapore

High-pay global hub in Asia

Posted
Apr 09, 2025
Type
Full-time
Level
Entry
Location
Singapore
Company
Jobscentral

Industries

Human Resources Services

Categories

Engineering Information Technology

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