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Data Science Analyst (Open external applicants)

Grade IPSA-9
New York, United States
International Personnel Service Agreement
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Tiered Approach

In line with the commitment to safeguard capacity and support personnel already in the Organization, a majority of UNDP UNCDF/UNV vacancies are advertised using a tiered application process whereby:

 Please make note of the Tier(s) indicated in the vacancy title, if any, and ensure that you satisfy the eligibility to apply.

Background

Background

The Office of Audit and Investigations (OAI) reports to the Administrator and is responsible for internal audit and investigation services to UNDP and its affiliated entities. OAI provides independent, objective assurance on the effectiveness of risk management and the effectiveness and adequacy of internal controls. OAI also responds to allegations of misconduct by conducting and reporting on investigations.

The Investigations Section of OAI is responsible for conducting investigations into allegations of misconduct, such as procurement fraud, corruption and bribery, theft and embezzlement, retaliation against whistleblowers, workplace harassment, abuse of authority, reckless or grossly negligent disregard of UNDP regulations, rules, and administrative instructions, that involve UNDP personnel, contractors, and other applicable persons. The Investigations Section is also tasked with investigating allegations of financial irregularities committed by parties external to UNDP that are detrimental to UNDP. In addition, OAI undertakes proactive investigations in high-risk areas susceptible to wrongdoing, fraud, and corruption.

OAI conducts investigations in accordance with the Uniform Principles and Guidelines for Investigations, the UNDP Legal Framework for Addressing Non-Compliance with UN Standards of Conduct, and the OAI Investigation Guidelines.

OAI needs to engage a qualified, skilled, and experienced Data Science Analyst under the International Personnel Services Agreement (IPSA) to support the development of data-driven applications and the application of advanced data analytics, machine learning, and AI techniques to enhance OAI’s investigative work.

Duties and Responsibilities

Duties and Responsibilities

Under the supervision of the Team Lead, AI, Data Science, and Financial Forensics, Office of Audit and Investigations (OAI), the Data Science Analyst will undertake the following activities:

Development of Data & AI Solutions

Development of Data & AI Solutions

Collaboration and Operational Support

Collaboration and Operational Support

Documentation and Capacity Building

Documentation and Capacity Building

Facilitate knowledge and knowledge sharing

Facilitate knowledge and knowledge sharing

The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization.

Institutional Arrangement

Institutional Arrangement

Team Lead, AI, Data Science, and Financial Forensics, will task and supervise the IPSA Data Science Analyst. All work products will be submitted to the Team Lead, AI, Data Science, and Financial Forensics and Investigations Section, OAI.

Due to the evolving nature of investigations and the need for flexible data solutions, the IPSA Data Science Analyst may be assigned additional tasks as directed by the Chief, Regional Investigations (HQ and RBLAC) and Investigations Support Team (IST), or the Deputy Director, Head of Investigations, OAI.

Competencies

Competencies

Core Competencies:

Core Competencies:

Cross-Functional & Technical Competencies:

Cross-Functional & Technical Competencies:

Business Direction and Strategy - System Thinking

Business Direction and Strategy - System Thinking

Digital – Data analysis

Digital – Data analysis

Digital – Data engineering

Digital – Data engineering

Digital - Machine learning

Digital - Machine learning

Digital – Programming, Web and App Development

Digital – Programming, Web and App Development

Digital – Prototyping

Digital – Prototyping

Communication – UX design

Communication – UX design

Ability to create digital products that provide an engaging and relevant experience to users

Required Skills and Experience

Required Skills and Experience

Education:

Advanced university degree (Master’s degree or equivalent) Data Science, Computer Science, Statistics, Mathematics, or a related field is required.

OR 

A first-level university degree (Bachelor’s degree) in the areas stated above in combination with an additional two years of qualifying experience will be given due consideration in lieu of the advanced university degree.

Experience:

Language:

Professional Certificates:

Equal opportunity

Equal opportunity

As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization. Our employment decisions are based on merit and suitability for the role, without discrimination. 

UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all.

Sexual harassment, exploitation, and abuse of authority

Sexual harassment, exploitation, and abuse of authority

UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles. 

Right to select multiple candidates

Right to select multiple candidates

UNDP reserves the right to select one or more candidates from this vacancy announcement.  We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements.

Scam alert

Scam alert

UNDP does not charge a fee at any stage of its recruitment process. For further information, please see www.undp.org/scam-alert.

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