Job Description

We are looking to grow our data science team to help us identify and develop new applications of data science to further enhance the current algorithms and solutions. This role will work on complex data analysis projects using standard and advanced modelling. You should be comfortable working with very heterogeneous and large data sets residing in different data stores in disparate formats. Under the supervision of the Lead Data Scientist, you will be involved in the development and delivery of solutions proposed by SUEZ related to environmental protection (resource conservation, flood prevention, etc.) using standard and advanced data scientist approaches: time series modelling, machine learning technics for regression and classification, deep learning models for forecasting, computer vision models for images analysis. As part of the Data Science Team, you will:

• Design and deliver solutions for a defined Data Science related problem,
• Present results in a clear and concise manner to internal and external stakeholders (collaborating with the lead data scientist),
• Create reusable documentation, presentations, and code libraries during the projects.
• As a results-oriented team player, you will be a main asset for the team to deliver robust and efficient solutions in a timely manner.

Requirements:

• Bachelor\xe2\x80\x99s or Master\'s degree in Mathematics, Statistics, Computer Science, Artificial Intelligence or related quantitative field,
• Coding abilities in at least one of the following languages: Python or R. Software Engineer skills are not needed, but the candidate is expected to be able to write simple code to prototype and test analytical ideas,
• Excellent communication (both verbal and written) and data visualization skills to enable stakeholders to understand complex solutions,
• Analytical and think outside-the-box to innovate and find creative ways to address business problems,
• Ability to work autonomously and as a member of inter-departmental teams,
• At least 1 year of experience developing real-time projects in Machine Learning and Data Science.
• Willing to be assigned at 10 Science Park Road, The Alpha, Singapore.

With a preference for experience in:

• Git/GitHub Knowledge
• MS Azure platform
• Deep Learning libraries (Keras, Tensorflow)

Job Types: Full-time, Part-time
Part-time hours: 8 per week Schedule:

• Day shift

Education:

• Bachelor\'s or equivalent (Preferred)

Experience:

• Coding: 1 year (Required)
• Python: 1 year (Required)
• R Software: 1 year (Required)
• Machine Learning: 1 year (Required)