UNDP Is A Hiring A Data Science Analyst In Istanbul, Türkiye 2024 National Position Apply Online
Host
UNDP
Target Audience
International Applicants
Introduction
The United Nations Development Programme (UNDP) Istanbul International Center for Private Sector in Development (ICPSD) has a mandate to leverage the role of the private sector in development. The ICPSD was established in Istanbul, Türkiye on the basis of the Partnership Framework Agreement signed between the Government of the Republic of Türkiye and the United Nations Development Program in March 2011.
UNDP Is A Hiring A Data Science Analyst In Istanbul, Türkiye 2024 National Position Apply Online
Locations
- Istanbul, Türkiye
- Home Based
Job Schedule
Full time
Agency
UNDP
Grade
NPSA-8
Vacancy Type
National Personnel Service Agreement
6 months
Education & Work Experience
Master’s Degree
Required Languages
English, Turkish
The Data Science Analyst will be responsible for the Frontier Tech Leaders Programme Training component and support overall programme implementation. Also, the Analyst will contribute to the development of digital solutions for SDGs.
Duties and Responsibilities
Under the direct supervision and overall guidance of the Technical Specialist, the Data Science Analyst will have the following responsibilities:
Oversee FTL Training Component:
- Develop content for FTL Training Component.
- Prepare and continuously improve FTL trainings curriculum.
- Support country implementation course guides and volunteer trainers.
- Teach and assist students with Machine Learning, Python and other technical sessions.
- Arrange learning sessions and office hours schedule.
- Cultivate a positive, organized learning atmosphere.
Development and implementation of digital solutions for SDGs:
- Develop ML and DL models applying supervised and unsupervised techniques on structured and unstructured Big Data.
- Build and deploy AI/ML/DL models using the relevant techniques.
- Design and implement data quality procedures to support data quality management activities for data pipelines.
- Research and experiment with customized software using the relevant techniques for the data such as Machine Learning.
- Development and technical review of knowledge products.
Facilitate knowledge and capacity building and knowledge sharing.
- Identify, synthesize and document best practices and lessons learned that are generated from the project and implementing partners.
- Promote advocacy on development trends and opportunities to collaborate in coordination with the programme partners, stakeholders, and UNDP communications staff.
The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization
Institutional Arrangement
The Data Science Analyst will be working under the guidance of and reporting directly to the UNDP ICPSD Technical Specialist.
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Competencies
Core competencies:
- Achieve Results: LEVEL 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline
- Think Innovatively: LEVEL 1: Open to creative ideas/known risks, is pragmatic problem solver, makes improvements
- Learn Continuously: LEVEL 1: Open minded and curious, shares knowledge, learns from mistakes, asks for feedback
- Adapt with Agility: LEVEL 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible
- Act with Determination: LEVEL 1: Shows drive and motivation, able to deliver calmly in face of adversity, confident
- Engage and Partner: LEVEL 1: Demonstrates compassion/understanding towards others, forms positive relationships
- Enable Diversity and Inclusion: LEVEL 1: Appreciate/respect differences, aware of unconscious bias, confront discrimination
Cross-Functional & Technical competencies:
- Data collection: Being skilled in Data Sorting, Data Cleaning, Survey Administration, Presentation and Reporting including collection of Real-Time Data (e.g. mobile data, satellite data, sensor data).
- Data engineering: Ability in programming languages such as SQL, Python, and R, be adept at finding warehousing solutions, and using ETL (Extract, Transfer, Load) tools, and understanding basic machine learning and algorithms.
- Data analysis: Ability to extract, analyze and visualize data (including Real-Time Data) to form meaningful insights and aid effective decision making.
- Machine learning: Skilled in computer algorithms that improve automatically through experience and by the use of data.
- Data governance: Knowledge of data science, skills to develop data management tools, organize and maintain databases and operate data visualization technologies.
- Data storytelling and communications: Skilled in building a narrative around a set of data and its accompanying visualizations to help convey the meaning of that data in a powerful and compelling fashion.
- Digital Awareness and Literacy: Ability and inclination to rapidly adopt new technologies, either through skillfully grasping their usage or through understanding their impact and empowering others to use them as needed.
Required Skills and Experience
Education:
Advanced university degree (master’s degree or equivalent) in Computer Engineering, Computer Science, Statistic, Mathematics, Engineering or o related field is required. OR
A first-level university degree (bachelor’s degree) in combination with additional two years of qualifying experience will be given consideration in lieu of the advanced university degree.
Experience:
- Applicants with a master’s degree (or equivalent) in a relevant field of study are not required to have professional work experience. Applicants with a bachelor’s degree (or equivalent) are required to have a minimum of two (2) years of relevant professional experience in the fields of data science, data analysis, data engineering, machine learning or other related areas.
- Proven and demonstrated knowledge or experience in development and implementation of projects in the field of Artificial Intelligence and Machine Learning is required.
- Strong programming skills, preferably with Python is required.
- Demonstrated experience implementing digital capacity/skills building projects is a distinct advantage.
- Experience in remote delivery of skills training, e-learning, online learning management system is an asset.
- Proven ability to work effectively in an international environment is desired.
- Demonstrated expertise in the development of knowledge products and/or academic articles is an advantage.
- Fluency in both English and Turkish is necessary.
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Disclaimer
Important information for US Permanent Residents (‘Green Card’ holders)
Under US immigration law, acceptance of a staff position with UNDP, an international organization, may have significant implications for US Permanent Residents. UNDP advises applicants for all professional level posts that they must relinquish their US Permanent Resident status and accept a G-4 visa, or have submitted a valid application for US citizenship prior to commencement of employment.
