Operations Analyst Data Scientist - Research & Quantitative Analysis

International Finance Corporation - Washington, DC

Full-time - Entry Level

Washington, DC

Religious, Grantmaking, Civic, Professional, and Similar Organizations

About the position

The Operations Analyst - Data Scientist position at the International Finance Corporation (IFC) focuses on leveraging data science and AI/ML technologies to enhance operational efficiency and decision-making within the organization. The role is integral to the Corporate Portfolio Management (CPM) Department, which aims to provide strategic insights and analytics to support IFC's investment pipeline and portfolio management. The successful candidate will collaborate with various stakeholders to develop advanced analytics solutions that address operational challenges and improve overall performance.

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.
• 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; ability to communicate ideas clearly and confidently, articulate issues and recommend solutions.

Benefits

• Retirement plan
• Medical insurance
• Life insurance
• Disability insurance
• Paid leave including parental leave
• Reasonable accommodations for individuals with disabilities