The Senior Data Science Officer is responsible for defining requirements, mining and analyzing data, integrating data from various sources, and availing a high-quality data pipeline. In addition, the jobholder is responsible for participating in the design of advanced analytical models within a banking context.
Job Requirement
Academic & Professional Qualification
Bachelor’s Degree in Information Technology, Computer Science, Computer Information System, Software Engineering or any other equivalent field.
Experience
At least Five (5) years’ relevant experience
Behavioral Competency
Interpersonal and cross cultural skills, including ability to build collaborative relationship with sensitivity to diversity/inclusion.
Creativity and innovation skill
Action oriented
Quality focus and attention to detail
Professionalism and integrity in line with Dashen Bank Values
Good oral and written communication skills
Personal motivation drive exhibited through commitment to hard work, continuous improvement and achievement of goals.
Good customer relationship management skill (internal & external)
Risk awareness and focus-demonstrates understanding of risk management practice, standards and regulatory requirements.
Required Technical Competency
Familiar with challenges related to big data analytics.
Familiar with challenges related to unstructured data analytics.
Familiar with emerging data management and analytics technologies.
Ability to translate / reflect the bank’s business behaviour into structured information.
Knowledge of applicable data privacy practices and laws.
Ability to apply GDPR and privacy policy.
Ability capture, storage, analyze, data sets, that are complex and large, not structured and in different formats
Strong understanding of data models, structures, theories, principles, and practices.
Strong familiarity with data preparation, processing, classification, and forecasting.
Direct experience with data management techniques.
Hands-on database tuning and troubleshooting experience.
Familiarity with relational, SQL and No SQL databases.
Extensive experience solving analytical problems using quantitative approaches
Excellent understanding of the organization’s goals and objectives.
Knowledge of applicable data privacy practices and laws.
Experience with SQL administration and SQL toolsets.