Data Science Specialist

• Contribute to the design and implementation of Population, Gender, and Diversity Statistics policies and procedures covering all areas of activity
• Supervise day-to-day activities to ensure compliance with stipulated policies and procedures
• Identify opportunities for continuous improvement of systems and processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement
• Establish working relationships with relevant internal and external stakeholders
• Collect feedback from internal and external stakeholders on issues being faced and other requirements
• Contribute to the preparation of progress reports directed to all relevant stakeholders to keep them informed of progress
• Actively gain exposure and insights to local market development, business opportunities and the existing regulatory landscape
• Actively participate in on-the-job training, mentoring, and coaching of subordinates
• Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow
• Promote a high-performance working environment embracing the company's values
• Develop guidelines and plans for data analysis leveraging latest industry updates, best practices, and market trends
• Conduct detailed feasibility assessments and develop briefs and business cases for new data analysis initiatives (i.e., new data sources, innovative data analysis methods, etc.) and projects
• Develop technical proposals for data analysis initiatives and projects including detailed description of the proposed work and resources required
• Engage with concerned stakeholders to identify business requirements and expectations, define project scope, request clarifications as needed, and communicate to relevant stakeholders
• Translate business needs into problem statements while leveraging internal and external sources
• Develop implementation plans for data analysis projects and initiatives highlighting key milestones, methods and resources required
• Follow up on data gathering activities to ensure data accuracy and completeness in a timely manner and according to pre-defined guidelines and plans
• Ideate technical platforms and algorithmic engines, and support in coding scientific models and algorithms
• Review and evaluate model lifecycle including data cleansing, model development and validation, and model deployment
• Assess and support in conducting periodic tests and validation checks for deployed algorithms and models
• Review data analysis to evaluate integrity and validity of outcomes and methods used, and ensure alignment with requirements and targeted outcomes
• Facilitate and manage the coordination between internal and external experts throughout the data analysis lifecycle to ensure alignment on requirements and expectations, and identify and escalate unresolved issues
• guidelines and plans, recommend corrective actions as needed and escalate unresolved issues
• Gather consolidated data analysis reports to assess insights and review methodologies used to ensure validation of outcomes and adherence to data analysis standards and guidelines
• Engage with concerned internal / external stakeholders and conduct presentations to share analyses outcomes and findings
• Track KPIs and analyze feedback collected from concerned stakeholders to develop periodical reports reflecting the performance of data analysis projects / initiatives

• 6+ years of experience in a Data Science field
• Bachelor’s Degree in Big Data and Analytics or equivalent is required
• Proficiency in Microsoft office
• Proficiency in English
• Focuses on Results and Quality
• Demonstrates Customer Centricity
• Displays Integrity and Professionalism
• Innovates and Demonstrates Agility

The Professionals