Senior Data Scientist P4, Supply Chain and Delivery, Munich, Germany
Munich
- Organization: WFP - World Food Programme
- Location: Munich
- Grade: Mid level - P-4, International Professional - Internationally recruited position
-
Occupational Groups:
- Statistics
- Logistics
- Information Technology and Computer Science
- Supply Chain
- Scientist and Researcher
- Closing Date: Closed
.
WFP celebrates and embraces diversity. It is committed to the principle of equal employment opportunity for all its employees. We encourage qualified candidates to apply irrespective of race, colour, national origin, ethnic or social background, genetic information, gender, gender identity and/or expression, sexual orientation, religion or belief, HIV status or disability.
Are you a Senior Data Scientist Professional interested in further developing your professional experience while contributing to ending global hunger? Are you passionate about helping those in need? Would you like to join a global organisation investing in its people?
If so, an exciting & fulfilling career awaits you!!! Join our diverse and passionate team that works on varied and international projects directly contributing to saving & changing millions of lives around the globe.
DEADLINE FOR APPLICATIONS
Applications must be submitted by Sunday, March 17th, 2024 (11:59 PM CET)
WHO WE ARE
The United Nations World Food Programme is the world’s largest humanitarian organization, saving lives in emergencies and using food assistance to build a pathway to peace, stability and prosperity for people recovering from conflict, disasters and the impact of climate change.
At WFP, people are at the heart of everything we do and the vision of the future WFP workforce is one of diverse, committed, skilled, and high performing teams, selected on merit, operating in a healthy and inclusive work environment, living WFP's values (Integrity, Collaboration, Commitment, Humanity, and Inclusion) and working with partners to save and change the lives of those WFP serves.
To learn more about WFP, visit our website: https://www.wfp.org/ and follow us on social media to keep up with our latest news: YouTube, LinkedIn, Instagram, Facebook, Twitter.
WHY JOIN US?
WFP is a 2020 Nobel Peace Prize Laureate
WFP offers a highly inclusive, diverse and multicultural working environment
WFP invests in the personal & professional development of its employees through a range of trainings, accreditation, coaching, mentorship and other programs as well as through internal mobility opportunities
A career path in WFP provides an exciting opportunity to work across various country, regional and global offices around the world, and with passionate colleagues who work tirelessly to ensure that effective humanitarian assistance reaches millions of people across the globe
We offer attractive compensation package (please refer to Terms and Conditions section)
ORGANIZATIONAL CONTEXT
WFP country offices deliver assistance to beneficiaries through a variety of digital platforms and service providers. WFP works in partnership with several commercial Financial Service Providers (FSPs), including banks, micro-finance institutions, mobile money operators and money transfer agents, in addition to using WFP’s own delivery platform, SCOPE. One of WFP’s corporate objectives is to increasingly digitize the delivery of both in kind and cash assistance, to achieve greater efficiencies and provide greater accountability and traceability of assistance delivered. Therefore, WFP seeks to build its corporate capacity to centrally receive, store, process and analyse digital operational data for the purpose of promoting accountability, controls, and efficiencies as part of cash and in-kind assistance. There is also the opportunity to better inform WFP’s Programme design through the analysis of digital data emanating from operations.
THE ROLE
WFP is recruiting a Data Scientist to be part of the Data Assurance Services team in support of WFP's operations globally. The incumbent on the position need to tackle several challenges in collecting and analysing scattered data, adopting state-of-the-art data science techniques to detect anomalies, while ensuring that data privacy and security standards are upheld. This position plays a crucial role in developing advanced data analytics services to support Country Offices meet corporate identity management (IDM) assurance standards.
The incumbent will be part of the Data Assurance Services unit. The position is based in Munich. The position report into the Head of Data Assurance Services, who is based in Munich.
KEY ACCOUNTABILITIES (not all-inclusive)
- Lead the promotion of the use of data science solutions by showcasing products to CO’s and business stakeholders in HQ; plans the dissemination of data products to senior stakeholders, raise awareness of available data products.
- Oversee preparation and dissemination of analytical and critical reports, publications, and dashboards for decision making by the Head of Data Assurance Services, or country office leadership or external use.
- Coordinate and perform the design and development of customized visualization and presentation products to reveal the findings of analysis for senior and technical management at HQ and Country levels, suitable for all forms of production to include briefings, reports, documentation, interactive interfaces, and publication of quality outputs.
- Lead the study, exploration, and evaluation of new and existing data sources to determine their effectiveness and accuracy for use in risk and fraud detection and assess their suitability for Country Offices. Outputs will be used to provide data-driven recommendations to senior business stakeholders.
- Coordinate and oversee complex research and analyses to develop data products; uses internal and publicly available data and information.
- Provide strategic oversight and guidance to ensure developed guidelines are standardized and provide solutions to relevant process stages.
- Provide strategic oversight and guidance to team members within the Data Assurance Services team, offering expert insights and providing capability building to elevate the overall data quality assurance process.
- Create new and maintain effective partnerships with COs and other partner units for exchanging technical information and managing relations.
- Ensure the best use of assigned financial resources for achievement of set objectives within a significant budget, contributes to short- and long-term planning of the organization and assists in identifying threats and opportunities to the successful implementation of mandates.
- Establish and maintain relationships with counterparts, senior officers and technical staff in WFP and other UN specialized agencies to maximise possibilities of future inter-agency collaboration.
- Take responsibility for an equitable and inclusive workplace which incorporates all dimensions of the WFP diversity and inclusion framework.
- Other duties as required.
QUALIFICATIONS & KEY REQUIREMENTS
Education:
Advanced University degree in Data Science, Statistics, Computer Science or Economics or similar or First University Degree with additional years of related work experience and/or trainings/courses.
Experience:
- A minimum of 8 years of progressively responsible experience in data science, data analytics, applied mathematics, information management or related area.
- Must have experience leading diverse teams of international professionals and consultants in the areas of data science, data engineering, or data analysis.
- Experience working with data science tools such as R, Python, Tableau, and SQL and non-SQL databases.
Language:
- Fluency (level C) in English language.
- Any other UN languages, a plus.
MORE ABOUT YOU
Knowledge of cloud data-storage and processing environments, such as AWS, would be considered an asset.
WFP LEADERSHIP FRAMEWORK
These are the common standards of behaviour that guide HOW we work together to accomplish our mission.
Leads by Example with Integrity | Drives Results and Delivers on Commitments | Fosters Inclusive and Collaborative Teamwork | Applies Strategic Thinking | Builds and Maintains Sustainable Partnerships |
Lives the WFP values and shows humanity and integrity by role modelling care for others |
Delivers on commitments and adapts readily to change |
Is inclusive and collaborative, and contributes to a culture of learning and personal growth |
Demonstrates commitment to gather perspectives, analyse options and risks, and propose new ways of doing things |
Builds and nurtures external partnerships and collaborates with partners to deliver common objectives |
TERMS AND CONDITIONS
- This is an International Professional position and is open to all nationalities.
- The selected candidate will be employed on a limited fixed-term contract of 1 year renewable.
- Limited Fixed-Term Appointment (LFT) position is a non-mobile staff appointment in the international professional category for a limited period for up to 4 years. The position is based in Munich, Germany and the selected candidate will be expected to relocate. Incumbents of LFT positions are not eligible to apply for other mobile positions advertised internally through the Reassignment.
- Please note that internally, the position will be referred to as 'Data Science Team Leader'.
- WFP offers an attractive compensation and benefits package in line with ICSC standards (http://icsc.un.org) including basic salary, post adjustment, relocation entitlement, visa, travel and shipment allowances, 30 days' annual leave, home leave, an education grant for dependent children, a pension plan, and medical insurance.
REMINDERS BEFORE YOU SUBMIT YOUR APPLICATION
- We strongly recommend that your profile is accurate, complete and includes your employment records, academic qualifications, language skills and UN Grade (if applicable)
- Once your profile is completed, please apply, and submit your application
- Please make sure you upload your professional CV in the English language
- Kindly note the only documents you will need to submit at this time are your CV and Cover Letter
- Additional documents such as passport, recommendation letters, academic certificates, etc. may potentially be requested at a future time
- Please contact us at wfprecruitment@wfp.org in case you face any challenges with submitting your application
- Only shortlisted candidates will be notified
.
WFP has a zero-tolerance approach to conduct such as fraud, sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination. All selected candidates will be expected to adhere to WFP’s standards of conduct and will therefore undergo rigorous background verification internally or through third parties. Selected candidates will also be required to provide additional information as part of the verification exercise. Misrepresentation of information provided during the recruitment process may lead to disqualification or termination of employment.
WFP will not request payment at any stage of the recruitment process including at the offer stage. Any requests for payment should be refused and reported to local law enforcement authorities for appropriate action.