Support in Development of Data Visualization Tools

Support development of data visualization tools using various techniques.

This opening expired 5 years ago. Do not try to apply for this job.

IICPSD - UNDP Istanbul International Center for Private Sector in Development

Open positions at IICPSD / Open positions at UNDP

Home-based;

Volunteering IT & Telecom

Application deadline 5 years ago: Friday 20 Nov 2020 at 01:00 UTC

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Overview

Support development of data visualization tools using various techniques.

You have:

Bachelor’s in Computer Science, Electrical Engineering, Mathematics, Statistics, or related field with strong interest in Data Science
Understanding and knowledge of analytical techniques such as text mining, image processing, predictive analysis, event detection, data visualization, and proven machine learning modeling
Applied knowledge of programming languages, such as Python or Java, as well as experience of open-source software library such as TensorFlow, Scikit-Learn, Pandas, and NLTK
Ability to commit 11-20 hours per week for 13 weeks

Contract

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Details

The Online Volunteers will support the development of data visualization and dashboard using tools. The tasks will include transforming various kinds of data into actionable insights using data visualization methods such as Power BI, Tableau andD3.js. SDG AI Lab will support the Online Volunteers as needed, with a bi-weekly check-in via Zoom and maintain a connection through MS Teams and GitHub Repository. The Online Volunteers will work under the coordination of the Technical Specialist (IICPSD).

Technology development
Information technology and telecommunications

IICPSD’s SDG AI Lab initiative (sdgailab.org) requires assistance in developing and applying algorithms to support the digital solution development. The assignment involves exploring how to deploy big data and machine learning approaches on data visualization tools development. The Lab provides in-house expertise and research support to various UNDP projects to mainstream data science solutions to development problems and to contribute to the achievement of the Sustainable Development Goals.
Volunteers: 10 needed
11-20 hours per week / 13 weeks

Bachelor’s in Computer Science, Electrical Engineering, Mathematics, Statistics, or related field with strong interest in Data Science; Understanding and knowledge of analytical techniques such as text mining, image processing, predictive analysis, event detection, data visualization, and proven machine learning modeling; Applied knowledge of programming languages, such as Python or Java, as well as experience of open-source software library such as TensorFlow, Scikit-Learn, Pandas, and NLTK;
Global
English

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Potential interview questions

Can you tell me about a project where you had to use data visualization to convey complex information?	This question assesses your experience and ability to effectively communicate data insights through visualization.	Share a specific example, detailing the project, the data visualization tools you used, and the outcome.
Describe a time when you had to learn a new programming language or tool quickly. How did you manage that?	The interviewer is looking to understand your adaptability and learning approach.	Pro members can see the explanation.
What analytical techniques do you find most effective for data visualization? Why?	Pro members can see the explanation.	Pro members can see the explanation.
How do you prioritize tasks when working on multiple projects simultaneously?	Pro members can see the explanation.	Pro members can see the explanation.
Can you give an example of a successful collaboration with a technical team? What role did you play?	Pro members can see the explanation.	Pro members can see the explanation.