Job Overview
We are looking for a Data Scientist intern who will work with the team to develop algorithms package to deliver data-analytical services and products for our clients on top of EnOS platform. The ideal candidate is adept at using a variety of ML/AI models, from traditional statistical learning models to deep-learning models, to address various data-driven requirements. They better have some experiences in data exploration, building/implementing models and delivering modeling results to stakeholders. They need to demonstrate their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The ideal candidate would have passion for investigating solutions and working with stakeholders to improve algorithms results.
Major Responsibilities
- Work with team and stakeholders to implement data-analytical packages for clients in multiple domains;
- Perform data exploration in depth and design/implement novel algorithms to address data analytical challenges;
- Work closely with other platform teams to deliver integrated products or solutions
Qualifications
- Excellent understanding of general machine learning techniques and popular models (linear regression, SVM, XGBoost/LightGBM, etc.), and basic deep-learning models.
- Experience with development tools like Python, NumPy/Pandas, Scikit-learn and one deep-learning framework (Tensorflow / Keras / PyTorch)
- Experience with data exploration tool and data visualization tool, such as matplotlib, Echarts, etc.
- Better with experience with SQL/NoSQL databases
- Excellent written and verbal communication skills for coordinating across teams.
Capstone project description
Predictive Maintenance (IoT)
- Analyze sensors data sets and extract key features
- Build models for outlier detection / health status detection, etc
- Deploy ML model in AI platform and analyze model performance
Building Energy Analysis
- Analyze building energy data to understand the electricity usage in different assets
- Provide insight to explore the abnormity energy usage cases
- Design and build machine learning models to forecast the energy usage
- Design and build machine learning models to forecast abnormal energy usage cases
- Iteratively to tune and improve model performance
Related Job Searches:
- Company:
Envision Digital - Designation:
Data Scientist Intern - Profession:
IT / Information Technology - Industry:
Computer and IT - Location:
Bukit Merah