Data Scientist
JO 246879
Job Family: Data Analytics and Management
Level:Â P-4
Duty Station: New York, US
Deadline: Dec 20, 2024
Org. Setting and Reporting
The United Nations Secretary-General is responsible for the investment of the assets of the United Nations Joint Staff Pension Fund (UNJSPF). The Secretary-General has delegated this responsibility to the Representative of the Secretary-General for the investment of the assets of the UNJSPF (RSG). The RSG is, in turn, assisted in this function by the Office of Investment Management (OIM). OIM manages approximately $95+ billion multi-asset class, global investment portfolio, about 85% of which is actively managed in-house. Asset classes under management comprise of global equities, fixed income, foreign exchange, private equity, real estate, infrastructure, timber and commodities. OIMâs staff are all based in New York and come from over 40 countries. For more information, please visit OIMâs website at https://oim.unjspf.org/. This position is in the Data Analytics and Business Applications Team of OIM. The incumbent reports to the Chief of the Data Analytics and Business Applications Team.
Responsibilities
Within delegated authority, the Data Scientist will be responsible for the following duties:Â
⢠Studies, explores, and evaluates new and existing data sources to determine their effectiveness and accuracy for use in decision making, and assess their suitability for actionable output. Provide data-driven recommendations to business stakeholders.Â
⢠Designs and builds predictive data science products, such as visualizations, models or AI/ML algorithms for initial simulations or prototypes and subsequent ingestion into mainstream software applications.Â
⢠Liaises with technology stakeholders to access infrastructure, software and services needed to develop and deploy data science products.Â
⢠Promotes use of data science solutions by showcasing the products to business stakeholders; Plan the dissemination of data products to key stakeholders, raise awareness of available data products.Â
⢠Develops products, tools and processes to periodically validate the effectiveness of data science products and their expected and observed benefits. Assesses impact using key performance indicators; Iteratively improve products based on findings.Â
⢠Engages in complex research and analyses to develop data products; uses internal and publicly available data and information.Â
⢠Contributes to short- and long-term planning of the organization and assists in identifying threats and opportunities to the successful implementation of mandates.Â
⢠Coordinate with different functional teams to implement models and monitor outcomes.Â
⢠Develop processes and tools to monitor and analyze model performance and data accuracy.
Competencies
⢠Professionalism: Knowledge of data analysis life cycle from ingest and wrangling to analysis and visualization to present findings. Excellent analytical and problem-solving skills, ability to build new products and drive new approaches. Ability to convey complex / difficult data science topics to clients in a relatable manner. 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. Ability to apply judgment in the context of assignments given, plan own work and manage conflicting priorities. 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.Â
⢠Teamwork: Works collaboratively with colleagues to achieve organizational goals; solicits input by genuinely valuing othersâ 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.Â
⢠Planning & Organizing: Develops clear goals that are consistent with agreed strategies; identifies priority activities and assignments; adjusts priorities as required; allocates appropriate amount of time and resources for completing work; foresees risks and allows for contingencies when planning; monitors and adjusts plans and actions as necessary; uses time efficiently.
Education
Advanced university degree (Masterâs degree or equivalent) in data science, computer science, information management, statistics, public administration, public information, management or a related field. A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree.
Work Experience
A minimum of seven years of progressively responsible experience in data science, data analytics, applied mathematics, information management or related area is required. At least three years of experience in the investments ecosystem supporting portfolio and/or risk management is required. Experience of data Science tools such as Jupyter, Matlab, Knime, SPSS, SAS, or similar Statistical Programming Languages such as R, Python, Javascript or related is desirable.
Languages
English and French are the working languages of the UN Secretariat. For this position, fluency in English is required. Knowledge of another UN official language is an advantage.
For more information on how to apply, please follow: https://careers.un.org/jobSearchDescription/246879?language=enÂ
