Responsibilities

Purpose of the role

The role serves as primary source of data insights, supporting internal and external constituencies, ad-hoc business intelligence and other strategic initiatives.

Scope of the role

Analyse and translate data findings into meaningful and actionable insights. As well as design and implement quantitative analytical frameworks.

Key Responsibilities

Design and implement quantitative analytical AI Agent and frameworks, including scalable predictive models, customer segmentation and advertising optimisation that improve business performance and customer engagement.
Adopt best practices in data science, platforms and approaches.
Establish internal organization standards and benchmarks.
Work with other teams in the organization to understand business needs, document data and data integration requirements, and resolve conflicting business/data architecture rules.
Ensure compliance with internal customer contact governance policies and drive closed-loop measurement through smart data capture.
Analyse and translate data findings into meaningful, actionable insights including synthesising relevant insights from different customer touch points and data sources.

Foundational Competencies

Demonstrate clear and thorough analytical thinking
Able to multi-task and deliver against timelines
Good interpersonal and communication skills
Takes ownership or project that is being assigned
Able to work as an individual or as a team player to deliver high quality of work

Functional Competencies

Demonstrate expertise in developing and implementing a full range of analytical techniques to address commercial challenges. Proficiency in at least one statistical analysis tool.
Demonstrate experience with distributed databases and query languages. Proficiency in at least one programming language (preferably Python/scala).
Familiar with Cloud environment (Azure)

Experience

Minimum 6 years hands-on experience in data science, including developing and productionising data science models
Hands-on experience in Spark will be advantageous
Experience with NLP problems will be advantageous

Qualifications

Bachelor or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field.

Snr Data Scientist