Data Scientist - Singapore - AZENDIAN
Description
Data Scientist_Senior Data ScientistFull Time
Malaysia, Singapore
What We Do Matters:
Azendian Solutions is an Artificial Intelligence, data science solutions and operations technology start up, contributing to smart city solutions with a current focus on Education and the Built Environment.
The Role:
predictive, forecasting or operation research (optimisation) models as part of a larger effort. In addition, the role may be involved in text mining and network analytics solutions.
Responsibilities:
Data Scientist:
- Assist in collecting / gathering requirements from the clients to understand their current state.
- Attend and assist in facilitating project meetings / workshops with client working team members.
- Contribute and support projects in his/her respective area of expertise.
- Participate in software development processes and best practices, documentation of requirements and software codes during the software development lifecycle.
- Produce high quality deliverables/document, withreadytouse content.
- Drive a module or task within a project on their own with mínimal supervision.
- Prepare user requirements and any data development work including documentation.
- Proactively perform research on the business, industry and functional domain of the client to stay up to date.
- Assist in developing project deliverables and assets such as templates, processes, reports, and presentation decks for the client based on the work assigned.
Senior Data Scientist:
- Lead a small team of Data Scientists.
- Lead the clients' discussion for design, development and testing of enhancements spanning multiple areas ranging from moderate to high complexity.
- Develop and manage the endtoend lifecycle of analytics projects from requirement, data scoping, modelling to production (model deployment and monitoring).
- Work with product owners and engineering teams throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, to product endoflife.
- Propose, implement, and validate algorithms, ensuring functional and nonfunctional requirements such as transparency, fairness, scalability, security, integration complexity and operational costs.
- Lead smallscale projects on his/her own with supervision.
- Proactively lead/contribute and support projects in his/her respective area of expertise
Job Requirements:
- Bachelor's degree in computer science, Mathematics, Statistics, Business Analytics or equivalent.
- Data Scientist 2 years' experience; Senior Data Scientist 5 years' experience in data analytics fields/ML.
- Strong working knowledge of machine learning principles.
- Experience in data processing, feature selection, hyperparameter optimization, model validation and visualization.
- Experience in data analysis / numerical computing / classical ML tools like Pandas, NumPy/SciPy, Scikit-Learn, or XGBoost.
- Able to develop SQL queries and working with data models.
- Experience in production software engineering routines such as testdriven development, code versioning with Git, conducting code reviews, and CI/CD.
- Deep and eager interest in emerging technologies and the ability to leverage the technologies into solutions to meet our strategic and operational client needs.
- A selfstarter with an analytical approach to problem solving.
- A clientcentric, outcome driven and quality focused team player.
- Detailed oriented and is able to work in fast paced and agile environment.
- Excellent communication skills; both in written and spoken English.
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