Key Accountabilities

• 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