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, Power BI, 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.
Job skills required: Statistics, Assurance, Quality Assurance
Job skills preferred: Problem Solving, Product Development, Research
We regret to inform you that this job opportunity is no longer available