Data Science Specialist

United Nations Children's Fund

New York, United States of America

Experience: 5 to 10 Years

Skill Required: IT and ICT

We are looking for a motivated and talented team player who will make an invaluable contribution to the OIAI’s data analytics journey. As a Data Specialist, you will provide a technically sound and rigorous analytics solutions based on the needs identified by OIAI.

To successfully perform this role, you are expected to have a hands-on experience in designing and managing multiple datasets, developing multiple dashboards, deploying machine learning models, creating automated reports and implementing process automation tools. You are detail-oriented while being able to keep your eyes on the big picture. You are a quick learner who can also intuitively connect the dots across UNICEF’s complex data landscape and multiple planning, monitoring and reporting systems and processes. You love working in a fast-paced environment and can perform under pressure.

Responsibilities:

Within delegated authority, the Data Specialist, who reports to Advisor of Director of OIAI will be responsible for the following duties:

  • Act as OIAI's Technical lead on the audit and investigations data analytics and data integration program
  • Locate, analyze, evaluate and define new data analysis requirements and make recommendations for their prioritization, deployment and improvement.
  • Identify appropriate data sources for the preparation of analytics and knowledge products to support the OIAI functions.
  • Collaborate with ICT focal points and subject matter experts to improve data flows, data quality, and data-driven products such as analytical reports, exception scripts, etc.
  • Identify, analyze, and interpret trends or patterns, using basic machine learning techniques, statistical methods to identify relevant features and variables in structured and unstructured sources of information and data
  • Maintain existing dashboards/reports, develop, and update technical documentation as and when needed, and ensure quality control through adequate testing
  • Identifies and pursue synergies with respect to data analytics work with other offices within UNICEF as well as other international organizations
  • Communicate orally and make presentations to management on progress updates, and results from the data analytics
  • Offer in-house training and knowledge sharing in the use of analytics solutions and dashboards developed by OIAI analytics team

To qualify as an advocate for every child you will have…

  • An advanced university degree (Master’s or equivalent degree) in Computer Science, Data Science, Analytics, Statistics, Information Management, and/or ay related field is required.
  • A first-level university degree in combination with two additional years of qualifying work experience may be accepted in lieu of the advanced university degree.
  • A minimum of five (5) years of progressively responsible experience in applied analytics, business intelligence, information management, statistics, project management, stakeholder management or any related area is required.
  • Experience in developing and implementing data analytic tools in complex organizations similar to UNICEF
  • Experience with self-service analytics and data visualization applications (MS PowerBI, Qlik, Tableau or similar), and SAP Business Objects is required.
  • Experience with database or programming languages (SQL, Python/R) is required.
  • Experience in integration of multiple data sources, databases, enterprise applications and Web services is required.
  • Experience or understanding of developing and implementing machine learning models, and RPA tools such as Autoit, UiPath, etc is desirable.
  • Experience of working in an audit or investigation environment and knowledge of UNICEF/UN Systems and is desirable.
  • Fluency in English (oral and written) is required. Knowledge of another UN official language (Arabic, Chinese, French, Russian, Spanish) is an advantage.

Source: https://jobs.unicef.org/cw/en-us/job/558999