Job Opportunity At NMB – Senior Data Scientist February 2022

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Senior Data Scientist 

Job Purpose:Support relevant stakeholders through analytics, and the application of appropriate advanced analytics for the business’ key initiatives.

Main Responsibilities:

Mine, analyze large amounts of data, find hidden patterns and forecast trends and provide reports with recommendations
Implement advanced analytics use case scenarios for the bank
Build predictive models and machine-learning algorithms
Use Data Science techniques/tools to improve processes; Aggregate data from disparate sources
Translate analytic insights into concrete, actionable recommendations for business or product improvement.


Identify new opportunities to apply machine learning to business processes
Design and implement reporting dashboards that can track key business metrics and provide actionable insights;
Process, cleanse, and validate the integrity of data; Automate data collection and management process
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
Innovate new modeling techniques and procedures to existing business problems

Knowledge and Skills:

Strong mathematical & numeracy skills
Understanding of reporting & data visualizations tools
Understanding of ETL framework and tools
Excellent analytical, creative and problem-solving skills.
Excellent verbal and written communication skills with the ability to interact effectively with people at all levels.
Ability to work effectively within a team
Ability to work independently with minimal supervision
Ability to prioritize, meet deadlines and work under pressure.
Attention to detail; Strong data analysis skills
Job Opportunity at NMB
Qualifications and Experience:

BSc in Computer Science, Data Science, Mathematics or relevant field.
5 years of experience in manipulating data sets and building statistical models
Strong coding skills, such as R, Python or Scala
Advanced level proficiency in Structured Query Language (SQL).
Experience with big data platforms and tools including Hadoop, Pig, Hive, Spark and MapReduce
Experience with SQL and NoSQL databases
Familiarity with database management, data warehousing, data modeling and data visualization tools.
Experience in data mining & machine learning algorithms and their implementations
Experience with manipulating large data sets
Experience in financial services especially in banking is a bonus
Experience :5.0 Year(s)

The deadline for submitting the application is 10 March 2022.

CLICK HERE TO APPLY

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