A call for applications for a Research Fellowship ? Junior Data Scientist is open at Nova School of Business and Economics (NOVA SBE) under the Project ?African Tourism Platform?, under development by the Data Science Knowledge Center, funded by Nova SBE Westmont Institute of Tourism & Hospitality (WITH), with the following conditions:

Main field:
Data Science, Data Analytics, Data Visualization

Admission requirements:
1. All candidates should be currently enrolled in a master?s program and available to dedicate part-time to the fellowship (master?s in Business Analytics or other master?s with a significant number of data related courses).
2. Background in Management, Economics, Finance, Data Analytics, Data Science, Computer Science, Engineering or similar (preferred).
3. Additional courses or experiences in Data related subjects (preferred).
4. Programming in Python (please provide a link to your GitHub account if possible) (preferred).
5. Experience working with AWS (preferred).
6. Knowledge of different libraries of data transformation, visualization and SQL modeling (preferred).
7. Demonstrated interest in social good (e.g., worked with or for a non-profit/ impact driven organization) (preferred).

Work Plan:
WITH - Westmont Institute for Tourism and Hospitality, partnered with Nova SBE?s Data Science Knowledge Center (DSKC) to develop the most comprehensive platform about tourism in Africa. The project goal is to create unique resources for enabling sustainable tourism Data-driven decision-making in the African continent. While developing this platform, DSKC and WITH will play an active and collaborative role in the community, at the same time catalyzing greater synergies between international organizations, researchers, leadership, and policymakers.
In the long run, the project aims to develop tools and knowledge to monitor the evolution of the tourism industry in Africa and translate data into actionable insights. It will also provide an extensive set of data that allows to study the dynamics of tourism in Africa and support the sustainable development of the industry.

Main Goal:
1. Prepare the datasets and analysis of the platform, focused on the Tourism Sector in Africa

Main responsibilities:
You will be part of a team composed of a Project Manager, a Data Consultant, and an Advisory Board with senior members from both WITH and DSCK.
1. Identify and explore different tourism datasets.
2. Digest, prepare and merge several sources of information.
3. Develop Machine Learning (ML) solutions, in collaboration with internal and external stakeholders.
4. Manage and analyze complex data using a variety of tools and technologies.
5. Collaborate with internal and external stakeholders to understand the platform?s operational and strategic needs, throughout the project lifecycle.
6. Ensure that all tasks are delivered on-time, and within scope, to deliver the platform.
7. Contribute to establishment of best practices in data science, information security and data protection for the full project lifecycle.
8. Communicate complex solutions in a clear and understandable way to both experts and non-experts.
9. Update and maintain code repository.

Applicable Law and Regulations:
Research Fellowship Holder Statute (?Estatuto do Bolseiro de Investigação Científica?), approved by Law n.º 40/2004, of 18th August, subsequently amended and republished by Decree-Law n.º 202/2012, of 27th August, updated in accordance with Decree-Law n.º 233/2012, of 29th October, Law n.º 12/2013, of 29th January, and with Decree-Law n.º 89/2013, of 9th July, updated in accordance with Decree-Law n.º 123/2019, of 28th August. Fellowship Regulations of Nova SBE, approved by FCT, I.P. by Dispatch of 16th April 2014 and Regulations for Studentships and Fellowships of the FCT, I.P. Fellowship Regulations of Nova SBE, approved by FCT, I.P. by Dispatch of 16th April 2014 and Regulations for Studentships and Fellowships of the FCT, I.P., approved by Regulation 950/2019, of 16th December.

Working place:
The research will be conducted at NOVA SBE under the scientific supervision of Professor Leid Zejnilovic (or remotely, according to the Covid-19 legislation).

Duration of the Fellowship:
The fellowship will have a duration of 3 months, with possibility of renewal for the length of the project, subject to periodic reviews. The fellowship will be awarded on an exclusive basis, as stated in Regulations for Studentships and Fellowships of FCT, I.P.

Monthly allowance:
The fellowship amounts to ?416,12, according to the table of monthly stipends available in the Regulations for Studentships and Fellowships of FCT, I.P. (http://www.fct.pt/apoios/bolsas/valores).

Selection criteria:
The selection will be carried upon the evaluation of the CV (20%), motivation letter (10%), interviews (30%) and a data science challenge (40%).

Selection Committee:
Leid Zejnilovic ? Chairman (Assistant Professor)
Susana Lavado ? Effective member (Senior Data Scientist)
Bruna Riboldi ? Effective member (Project Manager)
Lénia Mestrinho ? Substitute member (Executive Director Nova SBE Data Science Knowledge Center)
Patrícia Xufre ? Substitute member (Assistant Professor)

Formal notification of results:
All candidates will be notified by email.

Application period:
The call is open from 25th of February to 19th of March 2021.

To apply, please refer to the following link: http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=131829&lang=pt

Contract length: 3 months

Job Types: Full-time, Part-time, Contract

Salary: 416.12? per month