Data Scientist

Envisage Digital Technology Limited; Hong Kong; Hybrid; HKD 500,000 - 750,000; Full time

Benefits offered by this job

Remote-friendly culture

Flexible working hours

Learning budget

Job summary

Envisage Digital Technology Limited is seeking a versatile Data Scientist to own the machine learning lifecycle—from deep research and data extraction to production-ready solutions. You will bridge data science, software engineering, and construction management to inform strategic decisions.

Responsibilities include researching data, building custom AI models for vision tasks, designing architectures, refining models, and delivering scalable data pipelines and RESTful APIs.

Qualifications

• Master’s degree or Ph.D. in Data Science, Statistics, Computer Science, or a related field; Bachelor’s considered with proven track record.
• Strong proficiency in Python and advanced SQL; familiarity with data visualization tools.
• Deep understanding of statistics, deep learning, and modern frameworks (PyTorch, TensorFlow, Keras).
• Hands-on experience with image processing (OpenCV) and vision architectures (CNNs, Vision Transformers).
• Proven API development experience (FastAPI, Flask) and containerization (Docker); Git and CI/CD familiarity.
• Excellent problem-solving and communication skills for technical and non-technical stakeholders.

Responsibilities

• Research and analyze operational data to uncover patterns, trends, and efficiency insights.
• Design, build, and train custom deep learning models for computer vision and image processing tasks.
• Evaluate model architectures and design custom neural network components for operational challenges.
• Continuously fine-tune and optimize models for real-world accuracy and reliability.
• Develop scalable data pipelines for ETL/ELT to feed models, including image preprocessing.
• Wrap models into robust RESTful APIs (FastAPI, Flask) and deliver interactive dashboards (Streamlit, Dash).
• Deploy containerized models to production and establish performance monitoring.

Job description

• We are dedicated to transforming the construction industry through innovative, data-driven solutions.
• Our dynamic team combines expertise in data science, engineering, and construction management.
• We focus on revolutionizing operational workflows and enhancing overall project efficiency.

Position Overview

• We are seeking a versatile and passionate Data Scientist to join our research team.
• You will take complete ownership of the machine learning lifecycle—from deep research and data extraction to interactive, production-ready solutions.
• You will bridge the gap between data science, software engineering, and construction management to inform strategic decision-making.

Key Responsibilities

• Research & Analysis: Conduct comprehensive research on operational data, analyzing large datasets to uncover patterns, trends, and efficiency insights.
• Custom AI Modeling & Image Processing: Design, build, and train custom deep learning models for complex tasks, including computer vision and image processing.
• Architecture Design: Evaluate various machine learning theories and methodologies to select the most appropriate model architecture, designing custom neural network layers tailored to specific operational challenges.
• Model Fine-Tuning: Continuously fine-tune, test, and optimize models to achieve high accuracy and reasonable, reliable results in real-world scenarios.
• Data Engineering: Develop and optimize scalable data pipelines for ETL/ELT processes to feed your models, including preprocessing visual data.
• Backend Integration: Wrap your machine learning models into robust, scalable RESTful APIs (using FastAPI, Flask, etc.).
• Frontend Delivery: Build interactive data apps or dashboards (e.g., Streamlit, Dash) to make your models and research findings accessible to stakeholders.
• Deployment & MLOps: Deploy containerized models into production environments and establish performance monitoring.

Required Qualifications

• Education: Master’s degree or Ph.D. in Data Science, Statistics, Computer Science, or a related field. Candidates with a Bachelor’s degree are highly welcome and encouraged to apply if they demonstrate a strong, proven track record in this field.
• Programming: Strong proficiency in Python, advanced SQL, and familiarity with data visualization tools.
• Machine Learning & Deep Learning: Deep understanding of statistical analysis, deep learning theories, and modern frameworks (e.g., PyTorch, TensorFlow, Keras).
• Computer Vision Expertise: Hands-on experience with image processing techniques, libraries (e.g., OpenCV), and vision architectures (CNNs, Vision Transformers).
• Software Engineering: Proven experience building APIs and writing production-grade, maintainable code.
• DevOps & Tools: Hands-on experience with Git, Docker, and standard CI/CD practices.
• Soft Skills: Excellent problem-solving abilities and strong communication skills to present findings clearly to technical and non-technical stakeholders.

Preferred Qualifications

• Cloud Advantage: Hands-on experience deploying solutions on Azure Cloud is a major plus (especially Azure Machine Learning, Azure Databricks, or Azure Functions).
• Advanced MLOps: Familiarity with orchestration and lifecycle tools like Airflow, MLflow, or Kubeflow.

Why Join Us?

• Be part of a forward-thinking company that values innovation, research, and technical excellence.
• Contribute to projects that have a tangible, real-world impact on the construction industry.
• Collaborate with a team of experts in a supportive and dynamic environment.
• Enjoy competitive compensation, flexible working hours, and a remote-friendly culture.
• Access opportunities and a dedicated budget for continuous learning and professional development.