Data Scientist - Singapore - ANOTECH ENERGY SINGAPORE PTE. LTD.

Description

Roles & Responsibilities

Responsibilities:

· Responsible for defining the data science and advanced analytics requirements and use cases, creating data exploitation models, recommending tool selection and working closely with Revenue Collection system Business Leads and Expert to create insight and value from data

· Responsible for planning, executing and delivering advanced data analytics and scenario modelling,

· Leading the activities for use case capture, building models, problem analysis, data exploration and data collection and integration,

· Researching existing product and machine learning/deep learning model, proposing improvement and industrializing the product,

· Participating in model demonstration and validation with end customer, providing analysis and evidence of the model performance to demonstrate that the model is fit for production and operation,

· Working with the product leader, domain expert and the software development team to ensure the success of the delivery.

Knowledge, Skills and Experience:

· Bachelor or Master Degree in Data Science or related field,

· Minimum 2 years of experience working in artificial intelligence algorithms and a proven record of accomplishment in the implementation of Deep learning solution based,

· Previous experience working in an innovation environment would definitively be an advantage

· Have understanding of algorithms design and development, from the preparation of the database to the industrialization of the algorithms,

· Experience in developing and deploying computer vision algorithms for real world applications

· Experience in using deep learning algorithms (supervised and un-supervised) and application in data analytic such as image or object classification, object detection,

· Experience in feature extraction from data stream such as video or images, and integrating the data output to train deep learning model,

· Proficiency with Python, TensorFlow, Keras, PyTorch, Pandas, Jupyter Notebook, GitLab,

· Experience in software development, MLOps, and data engineering (ETL pipeline implementation) using Spark, Flink or Pandas is highly recommended,

· Previous experience working in Mass Rapid Transport system such as fare collection or Metro station data analytic system is highly recommended,

· Previous experience working in video analytics, performance and image process optimization is desirable.Outstanding analytical and problem solving skills,

· Excellent project and time management skills with experience of Agile techniques,

· Ability to work in a team and on own initiative,

· Experience in developing and deploying computer vision algorithms for real world applications

Tell employers what skills you have

TensorFlow
Machine Learning
Pandas
Data Analysis
Big Data
Video Analytics
Industrialization
Exploitation
Artificial Intelligence
Computer Vision
Keras
Data Engineering
Data Mining
PyTorch
Python
Process Optimization
Data Science
Visualization
Data Analytics
Data Visualization