Operations Analyst Data Scientist

The World Bank - Washington, DC

Full-time - Entry Level

Washington, DC

Credit Intermediation and Related Activities

About the position

The Operations Analyst - Data Scientist position at the World Bank Group involves leveraging data science and advanced analytics to enhance operational efficiency and decision-making within the Corporate Portfolio Management (CPM) Department. The role focuses on developing AI/ML solutions to address data and analytics challenges, collaborating with various stakeholders, and contributing to the Phoenix program aimed at modernizing IFC's operational systems. The successful candidate will play a critical role in driving innovation and improving the overall performance of IFC's investment portfolio.

Responsibilities

• Assist in Stakeholder Collaboration: Support senior team members in working with business and technical stakeholders to understand and formulate problem statements addressing their pain points.
• Data Preparation and Analysis: Help in gathering, cleaning, and preprocessing structured and unstructured data for analysis and modeling purposes.
• Model Development Support: Assist in developing, training, and evaluating machine learning models for analytics under the guidance of senior data scientists.
• Feature Extraction and Engineering: Perform basic feature extraction and engineering tasks, such as tokenization, stemming, and vectorization, to prepare data for modeling.
• Documentation and Reporting: Document methodologies, experiments, and results, and assist in preparing reports and visualizations to communicate findings.
• Learning and Development: Stay updated with the latest advancements in text analytics and NLP and participate in training sessions and workshops to enhance skills.
• Ad Hoc Analysis and Support: Handle ad hoc queries and provide support for various analytics tasks as needed, including user testing and basic application maintenance.

Requirements

• Bachelor's degree from an accredited college/university in Computer Science, Data Science, Engineering or related field.
• Master's degree preferred, or equivalent combination of education (e.g., Bachelor's in Computer Science and a Master's in Business).
• Minimum of 2-3 years prior experience working with text analytics, natural language, and non-structured AI/ML analysis.
• Demonstrated understanding of financial concepts and application of data science in financial, corporate or investment operations domains.
• Strong analytical skills to critically evaluate gathered data and ability to link or associate with other datasets and data needs.
• Knowledge and experience in scripting and programming with Python, R, and SQL.
• Knowledge and experience with relevant technologies, preferably in cloud environment and tools provided within Azure and AWS.
• Aptitude for learning and applying new technologies related to Data Science and Data Management.
• Demonstrated self-starter with a high degree of responsiveness and proactivity.
• Strong written and spoken communications skills in English.

Benefits

• Disability insurance
• Health insurance
• Parental leave
• Retirement plan