Senior Data Scientist (CPT)

DUTIES:

• Work closely with client institutions to develop analytical plans to deliver on project objectives.
• Build the capacity of the Data teams at partner institutions through knowledge sharing on projects and bespoke trainings.
• Manage and implement data projects with other team members.
• Develop ETL processes to enable partners to derive value from their data.
• Conduct descriptive analysis and predictive analytics on Big Data sets.
• Generate policy or business insights from analyses.
• Apply segmentation techniques to large record-level data sets, such as transactional telecommunications data, or demographic data sets.
• Conduct data exploration activities at government entities to gain insight into the data collected and potential analytical applications for the data.
• Assess data quality and provide guidance on methods or techniques to improve data quality.
• Collaborate with external stakeholders on their analytical priorities.
• Provide guidance to government entities on how to optimize existing internal data processes.
• Merge data sets from different entities to enable richer data analysis.
• Develop APIs to streamline data sharing processes.
• Maintain documentation on all work conducted and generally ensure compliance with the relevant data protection legislation.

REQUIREMENTS:

Qualifications –

• Post-graduate Degree in either Data Science, Economics, Statistics, Operations Research, Engineering, Applied Mathematics or Computer Science.

Experience/Skills –

• 8+ Years of work experience on data-centered projects.
• With extracting, cleaning, and transforming data and working with data owners to understand the data.
• Leading and managing analytical projects.
• Managing analytical projects to inform decision-making processes (public sector experience is a bonus).
• Proficiency in SQL.
• Proficiency in R or Python, or any other Scripting/Programming language.
• Proficiency in MS-Office Suite.
• Have experience working with systems or applications that generate data.

ATTRIBUTES:

• Excellent problem-solving skills with a strong attention to detail.
• Can work independently and as part of a team.
• Ability to source and combine data from both structured and unstructured sources.
• Able to formulate a clear problem statement, develop a plan for tackling it and clearly communicating findings verbally and in writing.
• Ability to balance multiple priorities.

While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.

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