Data Scientist

Responsibilities

• Conduct day-to-day activities while ensuring compliance to policies and procedures
• Contribute to the identification of opportunities for continuous improvement of systems and processes in line with leading practices
• Establish working relationships with relevant internal stakeholders
• Collect feedback from internal 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
• Support in the identification of the latest updates in data science and artificial intelligence fields for continuous improvement and innovation
• Support in feasibility studies and business cases development for relevant data analysis initiatives and projects
• Support in developing technical proposals for data analysis initiatives/projects including detailed description of the proposed work and resources required
• Participate in workshops with concerned stakeholders to identify business needs, project scope, and problem statements, and request clarifications as needed
• Identify and secure needed data from relevant sources and establish interfaces when needed to facilitate complex data extraction
• Request data access permissions as needed and follow up on unavailable/incomplete data sets to ensure data readiness in a timely manner and according to predefined plans
• Design standardized and customized reporting dashboards and databases based on the relevant data pipelines and identified requirements
• Build complex data sets from multiple sources through data cleansing and integration into dashboards to facilitate downstream data activities
• Perform complex data mining, utilize APIs, and build ETL pipelines to identify trends and patterns in large data sets
• Develop and test models and machine learning algorithms based on in-depth understanding of underlying data, data structures, and business needs
• Apply machine learning techniques to the data to identify the model that best fits requirements and expectations, and tune the model accordingly
• Monitor deployed models through conducting periodic tests and validation checks
• Conduct exploratory and predictive data analyses to highlight hidden correlations and insights leveraging predictive modeling
• Conduct technical hypothesis testing on all outcomes to ensure extracted insights are accurate and in line with requirements and expectations
• Review and consolidate all data analysis and analytics reports, and prepare presentations to communicate complex quantitative analyses leveraging data visualization

Qualifications

• 4+ 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