The International Institute of Data & Analytics (IDA) is a not-for-profit hi-tech organization with foci on data science and big data analytics innovation, education and training, and commercialization and services. IDA offers unique experiences and engagement models for bridging the gaps between academia and business, enabling industry and government `easy to do business with' leading scientists and specialists in data & analytics, and building a platform for engagements and collaborations between outstanding researchers, practitioners and educators.
In data science and big data analytics, the IDA creates enablers for:
Leading the field of data science and analytics innovation, training and services by building think-tank and thought leadership, and next-generation of data scientists and professionals;
transforming excellent research and innovation outcomes to actionable data science and analytics systems, tools, services and training for industry innovation and transformation; and
building a flexible and engaging culture and platform to connect local, regional and global resources in data & analytics research and business towards developing world-class centre of excellence and research networks.
You shall find the IDA team very self-motivated, high standard and forward thinking focused, and highly hands-on.
Responsibilities
Collaborate with our clients and internal stakeholders to understand and document their business requirements, needs and objectives toward delivering project plans and business plans.
Comprehensive understanding of data structures, and extract required data for analysis according to business requirements.
Architect, develop and automate data analytics models and solutions. Develop analytics solutions, including data extraction, pre-processing, modeling, deployment, evaluation and maintenance.
Iteratively prototype and productise analytical models and solutions per commercial standard and for production and commercialization.
Make business recommendations in terms of cost-benefit, forecasting and impact analysis by effective presentations of data-driven findings to clients and stakeholders, and provide insights to clients.
Document and communicate all relevant work and work outcomes.
Lead and mentor junior data analysts/scientists in a closely collaborative data science project team.
Qualifications
Solid background, knowledge and capabilities in statistics, mathematics, computer science, informatics, computing, or closely relevant scientific field.
At least three years of data-driven analytics hands-on experience with deep know-how of predictive modeling, machine learning and data mining, and relevant modeling approaches and algorithms.
Demonstrated capabilities to prototype and productise statistical analysis and modeling algorithms and apply these algorithms for data-driven solutions to problems in new domains.
Demonstrated advanced knowledge of SQL (data extraction and manipulation), expertise in SAS programming, and software development skills in one to several scripting languages (Python/R).
Demonstrated capabilities to communicate and engage with and manage relationships across a range of stakeholder groups and technical project teams.
Demonstrated capabilities to work effectively as a member and leader of a data science project team to provide the high level specifications, management and communications.
Demonstrated experience for independent problem-solving and self-motivated innovation, education and services.
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