Interact with the initiative leader and team to understand all data requirements, and translates into data structures and data model requirements to IT function
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Define criteria for monitoring integrity of data modelling during projects
Drive data modelling and testing during projects
Carry out quality assurance of analytics tools & methods used in projects
Apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype, and build the next-generation analytics
Develop best practices for analytics including models, standards, tools
Develop company A/B testing framework and test model quality
Track impact of analytics on business
Work with IT function and project leader providing technical guidance related to data architecture, data models, and meta data management
Professional Knowledge & Experiences
Bachelor’s Degree in computer science, statistics, or operations research or related technical discipline
5-10+ years’ experience in statistical and/or data science role
Strong problem solving skills with an emphasis on product development
Experience using analytical tools and languages such as Python, R, Matlab, PowerBI, Spotfire, or SQL-like languages
A drive to learn
Experience working with large data sets, simulation/optimization and distributed computing tools
Knowledge of industry and ability to translate business needs into data
