Associate Data Scientist, DMD/TMI (Temporary)

The International Trade Centre (ITC) mandate is: "Transforming trade. Changing lives." By enabling trade-led economic development, especially in the Global South, ITC enables small businesses to reach their potential and strengthens ecosystems for long-term impact. The Trade and Market Intelligence (TMI) section is part of ITC’s Division of Market Development (DMD). TMI develops, maintains and continuously improves a set of web-based market analysis tools to make trade and market information more accessible. These tools help users, particularly MSMEs in developing countries, identify market opportunities and make evidence-based business decisions. Trade Map is one of TMI’s core market analysis tools. It provides comprehensive and up-to-date trade data in a user-friendly and highly flexible way. The tool relies on high-quality, timely and well-structured trade data, including trade in goods, trade in services and company-level information. The goal of this job function is to enhance the quality and reliability of Trade Map data by improving the efficiency and robustness of data production processes. The role supports the application of advanced data science methods to improve the collection, processing, validation and integration of trade data into Trade Map.

Under the direct supervision of the Senior Market Analyst and the general guidance of the Section Chief, and in close collaboration with an Associate Market Analyst and a Statistician, the Associate Data Scientist will be responsible for the following duties: • Assists in the exploration, identification, and acquisition of data sources to determine their suitability for use in decision making and advancing the goals of the organization. Enables broader use of data sources by applying quality methods to structure, clean, format, parse, and standardize data for analytical use. • Contributes to the design and develops data science products to improve data collection, processing and integration and provides an understanding or knowledge of the data that would otherwise not be detected without the application of advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and use of relevant algorithms and computational approaches. • Assists in promoting the use of data science solutions through guidance, documentation and the development of products, tools and processes to strengthen internal capabilities. • Guides, trains and supervises junior consultants involved in the function.

• Professionalism: Knowledge of SAS (Statistical Analysis System) is mandatory. Knowledge of other Science tools packages such as Python and R is desirable. Knowledge of data collection and web acquisition techniques such as APIs querying and Web scraping. Knowledge of agentic systems such as prompt engineering, schema extraction or document intelligence. Knowledge of customs trade statistics. Knowledge of trade in services statistics. Knowledge of the data analysis life cycle from ingest and wrangling to analysis and visualization to present findings. Knowledge of statistical and computational methods, such as clustering, classification, correlation, dimension reduction, forecasting, machine learning, detecting outliers, and regression. Takes pride in the work for the organization and understands the impact that can be brought into the organization by allowing data-driven and evidence-based decisions. Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work. • Teamwork: Works collaboratively with colleagues to achieve organizational goals; solicits input by genuinely valuing others’ ideas and expertise; is willing to learn from others; places team agenda before personal agenda; supports and acts in accordance with final group decision, even when such decisions may not entirely reflect own position; shares credit for team accomplishments and accepts joint responsibility for team shortcomings. • Accountability: Takes ownership of all responsibilities and honours commitments; delivers outputs for which one has responsibility within prescribed time, cost and quality standards; operates in compliance with organizational regulations and rules; supports subordinates, provides oversight and takes responsibility for delegated assignments; takes personal responsibility for his/her own shortcomings and those of the work unit, where applicable.

A first-level university degree in data science, mathematics, statistics, engineering, or any related field that includes intensified data analysis in the curriculum. An advanced degree in the above subjects may be accepted in lieu of the work experience requirement.

Not available.

A minimum of two years of relevant experience (An advanced degree in the above subjects may be accepted in lieu of the work experience requirement) in data science, data analytics, applied mathematics, information management or related area is required. Experience in customs trade statistics, trade in services statistics is desirable. Experience in data science tools and packages such as Python, R or SAS is desirable.

English and French are the working languages of the United Nations Secretariat. For this job opening, English is required. Spanish is required. The table below shows the minimum required level for each skill in these languages, according to the UN Language Framework (please consult

https://languages.un.org

for details).

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Required Languages

Language

Reading

Writing

Listening

Speaking

English

UN Level III

UN Level III

UN Level III

UN Level III

Spanish

UN Level III

UN Level III

UN Level III

UN Level III

Assessment will be undertaken through a comparative analysis of the applications. The assessment may also include a competency-based interview and/or other appropriate evaluation mechanisms.

The conditions of service are governed by the United Nations Staff Rules and Regulations. This is a temporary appointment for an initial 6 months and may be subject to extension. Applications from women and nationalities from developing and least developing countries are particularly encouraged. ITC champions workforce diversity, inclusion, gender equality and gender parity and considers all qualified persons - of all genders - equally, including those with disabilities, without discrimination or prejudice of any kind. ITC also offers attractive flexible work arrangements to help promote a healthy work/life balance and to allow all staff members to express and develop their talents fully. If you are unable to complete our online application form due to a disability, please send an email to hrs-jobs@intracen.org. Given the nature of the temporary opportunity, priority consideration may be given to candidates already located at the duty station. Applicants will be contacted only if they are under serious consideration. ITC Internal staff on fixed-term, continuing or permanent appointment, if selected, may be entitled to Special Post Allowance as per Staff Rule 3.10. For information on salary and entitlements, please consult the International Civil Service Commission website: http://icsc.un.org THE USE OF AI AT ANY STAGE OF THE RECRUITMENT PROCESS IS PROHIBITED AND ITS USE MAY RESULT IN DISQUALIFICATION.

In accordance with the United Nations Staff Regulations and Rules, the paramount consideration in the employment of the staff is the necessity of securing the highest standards of efficiency, competence, and integrity. Candidates will not be considered for employment with ITC if they have committed violations of international human rights law, violations of international humanitarian law, sexual exploitation, sexual abuse, or sexual harassment, or if there are reasonable grounds to believe that they have been involved in the commission of any of these acts. Candidates who have committed crimes other than minor traffic offences may not be considered for employment. Applicants are urged to carefully follow all instructions available in the online recruitment platform, Inspira. For more detailed guidance, applicants may refer to the Manual for the Applicant, which can be accessed by clicking on "Manuals" hyper-link on the upper right side of the Inspira account-holder homepage. The evaluation of applicants will be conducted based on the information submitted in the application according to the evaluation criteria of the job opening and the applicable Staff Regulations and Rules, administrative issuances, and guidelines. Applicants must provide complete and accurate information pertaining to their personal profile and qualifications according to the instructions provided in Inspira to be considered for the current job opening. No amendment, addition, deletion, revision, or modification shall be made to applications that have been submitted. Candidates under serious consideration for selection will be subject to reference checks to verify the information provided in the application. Job openings advertised in Inspira will be removed at 11:59 p.m. (New York time) on the deadline date.

ITC does NOT charge any fees or request money from candidates at any stage of the recruitment process, nor does it concern itself with bank account details of applicants. Requests of this nature allegedly made on behalf of ITC are fraudulent and should be disregarded.