AAR Data Science Fellow at ASSOCIATION OF AMERICAN RAILROADS in Washington, Washington DC

Job Description:

Data Science Fellowship
The Policy & Economics Division of the Association of American Railroads is inviting applications for the Data Science Fellowship for the year 2024-2025. This fellowship offers graduate students or experienced professionals a unique opportunity to cultivate and apply data management skills to support various projects within the railroad industry. The initiative aims to enhance participants professional growth while contributing to AARs ongoing data modernization endeavors.

About the Fellowship:
This opportunity provides a unique platform to apply your database management skills to address real-world challenges faced by our rail industry members while contributing to enhancing the efficiency of the services we provide to our valued members.

The fellowship offers data enthusiasts a chance to contribute significantly to developing workflows and tools for supporting various projects across the railroad industry and its regulatory landscape. The project focuses on data migration and workflow automation, directly impacting our freight railroad members. Fellows will play a pivotal role in driving key data transformation and enterprise design initiatives within the division, primarily focusing on streamlining the extraction of data from various source systems and transforming it into a format suitable for analysis.

The selected candidate will collaborate closely with industry experts and economists to understand data relationships and develop strategies for efficient data extraction, transformation, and loading. Your primary responsibilities will involve leading the development of processes to transfer unstructured data from various sources to an Azure Database, enabling better accessibility and scalability. Furthermore, you will apply your expertise to write code for workflow automation, specifically focusing on automating our report generation process. Moreover, fellows will be tasked with writing and optimizing SQL queries for efficient data retrieval and manipulation, as well as assisting in the development, testing, and maintenance of data pipelines.

Key Details:
Part-time appointment for six months.Stipend commensurate with experience.Mentorship and career support provided.