Envision Digital International Pte Ltd – Data Scientist Intern

Company
Envision Digital International Pte Ltd
envision-digital.com
Designation
Data Scientist Intern
Date Listed
27 Oct 2020
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
Flexible Start, For At Least 5 Months
Profession
Sciences / Laboratory / R&D
Industry
Artificial Intelligence / Smart Automation
Location Name
Singapore
Work from Home
Allowance / Remuneration
$900 - 1,800 monthly
Company Profile

Founded in 2007 with a mission to solve the world’s greatest energy generation, management, and orchestration challenges, Envision has grown into a global leader in renewable energy, energy storage, and other low carbon energy solutions. With over 4,000 employees in 15 offices globally, Envision is at the forefront of building the world’s clean energy future.

Envision Digital specializes in AIoT and Machine Learning, developing cutting edge software applications focused on optimizing solar, wind, and energy storage, and enabling the next generation of smart grid, smart cities, smart buildings, health and human safety, and environmental protection and stewardship. 

Job Description

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 must have enough 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

  • Major in Computer Science, Computer Engineering and other relevant programmes preferred
  • Excellent understanding of general machine learning techniques and popular models (linear regression, SVM, GBDT/XGBoost/LightGBM, etc.), and basic deep-learning models (CNN, RNN/LSTM, ResNet, etc.)
  • Excellence and experience with development tools like Python, NumPy/Pandas, Scikit-learn, deep-learning framework (Tensorflow, Keras, PyTorch, etc.)
  • Experience with data exploration tool and data visualization tools, such as matplotlib, D3.js, Echarts, etc.
  • Experience with SQL/NoSQL databases
  • Strong problem solving skills with an emphasis on R&D
  • Excellent written and verbal communication skills for coordinating across teams.
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