Junior Data Scientist – Data for Change

Website Nova SBE Data Science Knowledge Center

Nova SBE/BII/2022/04

 

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 “Data for Change”, under development by the Data Science Knowledge Center, funded by Nova SBE under the Social Equity Initiative (SEI), 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) (mandatory).

2. Background in Management, Economics, Finance, Data Analytics, Data Science, Computer Science, Engineering or similar (preferred).

3. Have taken additional courses or experiences in Data related subjects if their background is not directly related to Data Analytics/ Data Science/ Statistics (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 modelling (preferred).

7. Demonstrated interest in social good (e.g., worked with or for a non-profit/ impact driven organization) (preferred).

 

WORK PLAN: ………………………………………………………………….………………………..

The Nova SBE Data Science Knowledge Center (DSKC) aims to advance the knowledge about data-driven decision-making and its application in society. Our position in a school of business and economics, and our understanding of social sciences, technology, programming, and statistical methods, allow us to bridge the gap between organizations and technology that generates processes and uses data for creating impact.

 

Currently, DSKC’s members are working on projects and research in the applications of Data Science for Social Good, Data Driven Policy, Decision-Making, Understanding Human Behaviour, and Marketing and Economics (Theory and Measurement).

 

By joining the DSKC, you will be part of one or more project teams, that can be composed of a Principal Investigator (Faculty member), a Project Manager, a Web Developer, and Data Scientists/ Analysts/ Consultants as needed, considering the project goals.

 

Main responsibilities:

 

1. Support the definition of the scope and objectives of the project (scoping & business understanding phases of the project);

2. Support the identification of deliverables, acceptance criteria and impact measurement metrics;

3. Get acquainted with the projects’ datasets and support the development of data validation, preparation, and guarantee the data understanding through an Exploratory Data Analysis (EDA);

4. Support the development of machine learning models (experimentation, evaluation and selection of models);

5. Support the development and consolidation of project’s pipeline;

6. Support the development of machine learning Bias and Fairness analysis;

7. Support the development of applications/ tools to present the machine learning model’s results;

8. Support the preparation of the project’s consolidated documentation (Project Charter, EDA, Technical Report, Users’ guide, GitHub repository, among other).

 

The researcher will attend daily check-ins with the team, weekly status meetings internal and external, as well as any other meeting under the projects in which he/ she is participating.

 

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 needs of the project).

DURATION OF THE FELLOWSHIP:……………………………………………………………………

The fellowship will have a duration of 4 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 €486,12, 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 (40%), motivation letter (10%), and interviews (50%), that may include a data challenge.

 

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)

Alice Amâncio – Substitute member (Project Manager)

FORMAL NOTIFICATION OF RESULTS:………………………………………………………………

All candidates will be notified by email.

APPLICATION PERIOD:….……………………………………………………………………….……

The call is open from the 22nd of July to the 5th of August, 2022.

APPLICATION PROCEDURE:…………………………………………………………………………..

Applications must be submitted by email to research.office@novasbe.pt, under the subject (CALL REFERENCE), and must include the following documents (mandatory):

1.      Motivation letter;

2.      Detailed Curriculum Vitae;

3.      Transcripts of diplomas or degrees with final grades and other documents demonstrating the candidate’s suitability for the required profile;

4.      For degrees obtained abroad applicants must submit the recognition of the academic degree and the converted final grade to the Portuguese grading scale (following the Decree-Law no 341/2007 of 12 October), or the recognition of foreign qualifications (following the Decree-Law no. 283/83, of 21 June). (OPTIONAL)

In accordance with the article 12 of Regulamento de Bolsas de Investigação Científica of Nova SBE, the candidate can appeal from the decision with the Scientific Council of Nova SBE, Faculdade de Economia da UNL, within 10 working days.

 

 


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To apply for this job email your details to alice.caetano@novasbe.pt