Data Scientist

We are actively recruiting for Data Scientist to support The Administrative Office of the U.S. Courts (AO) Space and Facilities Division (SFD). They will be at the forefront of creating an array of dashboards, data visualizations, and performance metrics utilizing Tableau software. Their objective is to enhance the support and reporting mechanisms for the Judiciary’s space and facilities portfolio.

Our client requires proficient data analytics support to elevate and maintain their dashboard, data visualization initiatives, and integrate efficient data management practices. The Data Scientist will actively collaborate with the AO Space and Facilities Division. The main goal is to harness data-driven insights that can augment decision-making processes and strategic implementations that align with the Judiciary's operational demands.

Roles and Responsibilities:

• Develop performance metrics dashboards (utilizing Tableau, R Studio, Python, MS Excel).
• Collaborate proactively with clients and stakeholders within the U.S. Courts to understand their objectives, architectural needs, and security priorities.
• Design and propose tools that best resonate with the U.S. Courts' goals, ensuring scalability and adaptability for future requirements.
• Lead ETL (Extract, Transform, Load) processes to oversee the seamless flow of data, maintaining its quality and integrity at all stages.
• Engage with the AO Space and Facilities Division, ensuring data-driven insights are effectively harnessed to enhance decision-making processes and strategic implementations.
• Keep abreast of emerging technologies and methodologies to propose innovative solutions that can cater to the evolving challenges faced by the U.S. Courts.

Requirements:

• A minimum of 2 years of professional experience.
• Demonstrable experience in one or more of the areas specifically tailored towards streamlining and enhancing Judiciary processes, procedures, and support tools and analytics.
• Technical proficiency in software and IT systems, including but not limited to Tableau, IBM TRIRIGA, MS products, R Studio, and SQL Server.
• Solid experience in data integration and working with diverse data systems.
• Proven ability to collaborate effectively with both technical and business process teams to achieve desired program outcomes and deliverables.
• Experience with developing scripts and programs for converting several types of data into usable formats, supporting project team to scale, and monitoring and operating data platforms.