Join our dynamic team as we embark on pioneering advancements in data science and advanced analytics. As a key member, you'll play a crucial role in driving insights, value, and innovation from data, shaping the future of revenue collection systems.
Main Responsibilities:
- Define data science and advanced analytics requirements, create data exploitation models, recommend tool selection, and collaborate closely with Revenue Collection system Business Leads and Experts to derive insights and value from data.
- Planned, executed, and delivered advanced data analytics and scenario modelling.
- Lead activities for use case capture, model building, problem analysis, data exploration, and integration.
- Research existing products and machine learning/deep learning models, propose improvements and industrialize the product.
- Participate in model demonstration and validation with end customers, providing analysis and evidence of model performance for production and operation.
- Collaborate with the product leader, domain expert, and software development team to ensure successful delivery.
Requirements:
- Bachelor's or Master's Degree in Data Science or related field.
- Minimum 2 years of experience in artificial intelligence algorithms with a proven track record in implementing Deep learning solutions.
- Previous experience in an innovation environment is advantageous.
- Understanding of algorithm design and development, from database preparation to algorithm industrialization.
- Experience in developing and deploying computer vision algorithms for real-world applications.
- Proficiency with Python, TensorFlow, Keras, PyTorch, Pandas, Jupyter Notebook, and GitLab.
- Experience in software development, MLOps, and data engineering (ETL pipeline implementation) using Spark, Flink, or Pandas is highly recommended.
- Previous experience in Mass Rapid Transport systems such as fare collection or Metro station data analytics systems is highly recommended.
- Previous experience in video analytics, performance, and image process optimization is desirable.
- Strong analytical and problem-solving skills.
- Excellent project and time management skills with experience in Agile techniques.
- Ability to work both independently and in a team.
