Job Description

The Department of Safeguards is the organizational hub for the implementation of IAEA safeguards. The IAEA implements nuclear verification activities for some 180 States in accordance with their safeguards agreements. The safeguards activities are undertaken within a dynamic and technically challenging environment including advanced nuclear fuel cycle facilities and complemented by the political diversity of the countries. The Department of Safeguards consists of six Divisions: three Operations Divisions for the implementation of verification activities around the world; three Technical Divisions (Division of Concepts and Planning, Division of Information Management, and Division of Technical and Scientific Services); and three Offices (the Office for Verification in Iran, the Office of Safeguards Analytical Services and the Office of Information and Communication Services). The main objective of the Department is to maintain and further develop an effective and efficient verification system in order to draw independent, impartial and timely safeguards conclusions, thus providing credible assurances to the international community that States are in compliance with their safeguards obligations. The departmental operating environment is interactive, participative and dynamic with continuous inputs received from the Board of Governors, the General Conference, policy- and decision-makers, as well as counterparts in Member States and in the international development community. The Division of Information Management comprises four Sections and provides the Department of Safeguards with data processing services, secure information distribution, information analysis and knowledge generation necessary to draw independent, impartial and soundly based safeguards conclusions. Main Purpose Reporting to the Team Leader (SGIM), the Safeguards Data Scientist drives the development and enhancement of the analytical tools and statistical models supporting safeguards analysis and the drawing of safeguards conclusions. He/she leads the design, development and implementation of appropriate analytical models to integrate existing and new safeguards tools in support of the Department's objectives with regard to nuclear verification evaluations. Role The Safeguards Data Scientist is: 1) an expert, designing and developing analytical models and highly complex algorithms; 2) an advanced communicator of technical and business concepts within the safeguards specific environment; 3) a specialist in applying advanced mathematical and statistical techniques within the Division; and 4) a key contributor to broader efforts to develop and improve information analytical capabilities across the Department. Functions / Key Results Expected
  • Drive divisional efforts to scope, design, develop and enhance analytical tools and statistical models to support safeguards business objectives.

  • Lead the implementation of machine-learning models and oversee the data wrangling process for machine learning projects.

  • Develop processes and tools to monitor the model performance and accuracy of analytical tools and statistical models.

  • Develop effective metrics, key performance indicators, and visualization techniques.

  • Lead the development and maintenance of effective standards, guidelines and operating procedures for the use of data science tools.

  • Keep abreast of emerging technologies and advise management on the latest technological developments to support data science tools.

  • Create and deliver internal training for management, analysts, evaluators and other stakeholders on data science approaches, tools and techniques.

Competencies and Expertise Core Competencies Planning and Organizing Plans and organizes his/her own work in support of achieving the team or Section’s priorities. Takes into account potential changes and proposes contingency plans. Communication Communicates orally and in writing in a clear, concise and impartial manner. Takes time to listen to and understand the perspectives of others and proposes solutions. Achieving Results Takes initiative in defining realistic outputs and clarifying roles, responsibilities and expected results in the context of the Department/Division’s programme. Evaluates his/her results realistically, drawing conclusions from lessons learned. Teamwork Actively contributes to achieving team results. Supports team decisions. Functional Competencies Analytical thinking Analyses information to identify cause and effect relationships and correlations. Identifies critical elements and assesses consequences of different courses of action and proposes solutions. Commitment to continuous process improvement Plans and executes activities in the context of quality and risk management and identifies opportunities for process, system and structural improvement, as well as improving current practices. Analyses processes and procedures, and proposes improvements. Judgement/decision making Consults with supervisor/manager and takes decisions in full compliance with the Agency’s regulations and rules. Makes decisions reflecting best practice and professional theories and standards. Required Expertise Analysis Innovative thinking and strong analytical and problem solving skills to deal with complex business challenges. Concepts and solutions for secure information flow Ability to develop solutions within an information security environment. Information Analytics Capabilities and Modelling Strong proficiency in applying advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and in data visualization and reporting techniques. Information Analytics Expert Tools Extensive expertise in mathematical and statistical techniques; tools such as R, SAS, MATLAB, Python; and in extracting and aggregating data from large data sets using SQL, NoSQL or other tools. Information Discovery Ability to employ tools to improve the discoverability of the information. Expertise in a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Qualifications, Experience and Language skills Master's Degree - Advanced university degree in data science or a related field, e.g. applied mathematics, statistics. Minimum of seven years of relevant working experience in a data science environment, including substantial experience of leading data science projects. Extensive experience in modelling complex data and identifying process and tool improvements through the use of algorithmic, statistical, visualization, and mining techniques. Experience of manipulating and analysing complex, high-volume, high-dimensionality data from varying sources. Excellent oral and written command of English. Knowledge of other official IAEA languages (Arabic, Chinese, French, Russian and Spanish) is an asset. Remuneration The IAEA offers an attractive remuneration package including a tax-free annual net base salary starting at US $73516 (subject to mandatory deductions for pension contributions and health insurance), a variable post adjustment which currently amounts to US $ 33891, dependency benefits, rental subsidy, education grant, relocation and repatriation expenses; 6 weeks' annual vacation, home leave, pension plan and health insurance Applications from qualified women and candidates from developing countries are encouraged Applicants should be aware that IAEA staff members are international civil servants and may not accept instructions from any other authority. The IAEA is committed to applying the highest ethical standards in carrying out its mandate. As part of the United Nations common system, the IAEA subscribes to the following core ethical standards (or values): Integrity, Professionalism and Respect for diversity. Staff members may be assigned to any location. The IAEA retains the discretion not to make any appointment to this vacancy, to make an appointment at a lower grade or with a different contract type, or to make an appointment with a modified job description or for shorter duration than indicated above. Testing may be part of the recruitment process.
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