Job Description

We are looking for a Data Scientist who is passionate in using data to draw insights that supports planning, policy making as well as business process optimization. The ideal candidate must have a strong interest in developing data and analytics solutions to address business problems. He/ she must have proven ability and strong experience in using a variety of data mining/data analysis methods, performing coding to analyse complex datasets and developing models that optimize business outcome. The right candidate needs to be comfortable with engaging a wide range of stakeholders and is able to interact effectively with both the technology teams and the business units.

Responsibilities

Work with stakeholders throughout the organization to define business problems and identify opportunities that leverage on company data to drive business solutions
Research and explore different data sources, work with data and system experts to understand the data and what it represents. Perform data cleaning, pre-processing, feature engineering and build relevant models and algorithms to conduct meaningful analysis.
Work within a cross-functional matrix team comprising data analyst, business users, data engineers etc, and guide the team in developing artificial intelligence and machine learning models to extract insights, from structured and unstructured data, that optimise business outcomes.
Develop processes and tools to monitor and analyse model performance and data accuracy
Communicate and present insights to senior management and/or other stakeholders with actionable recommendations
Work with the data engineering team to automate data workflows and deploy analytical solutions for business users
Actively seek out opportunities to innovate by using non-traditional data and new modelling techniques.
Research and enhance existing analytics techniques by promoting new methodology and best practices in analytics field.

Requirements

Extensive qualifications in data science/analytics, statistics, computer science or related fields, or candidates from other disciplines with professional certifications (i.e. Coursera) are welcomed to apply
Minimum 6-8 years of relevant working experience
Proficient in the use of open-source analytic tools (i.e. R and python), visualization tools (i.e. Qlik Sense, Tableau and Power BI) and database development tools (i.e. SQL and Hadoop)
Experience in working with large structured and unstructured datasets
Extensive experience in areas of Data Science and Artificial Intelligence (“AI”) – machine learning, neural networks, deep learning including application domains like natural language processing, computer vision and speech analysis
Proven track record of applying Machine Learning and AI in real-world industrial settings to make decisions, uncover data patterns/trends and predict outcomes
Experience with cloud computing will be advantageous
Passion for learning new techniques and solving challenging problems
Ability to work independently and in cross-functional teams to drive business solutions
Good analytical and presentation skills, including the ability to articulate complex data analysis in both technical and non-technical approach to stakeholders