Data Scientist, Forecasting & Dashboards

U.S. Immigration and Customs Enforcement (ICE); Washington (District of Columbia); On-site; USD 110,000 - 140,000; Full time

Job summary

U.S. Immigration and Customs Enforcement (ICE) is seeking a Data Scientist at the full performance level to extract insights from diverse data sources and inform OCFO decisions.

You will build data products like forecast models, cost calculators, and KPI dashboards while coordinating with data owners to ensure access and quality. The role requires a solid background in mathematics, statistics, computer science, or data science, with demonstrated experience in data analysis, automation, and

Qualifications

• Degree in Mathematics, statistics, computer science, data science or related field at the baccalaureate level.
• One year of specialized experience at GS-13 or equivalent for GS-14 level.
• National Service experience or equivalent experience may be considered.

Responsibilities

• Extract insights from qualitative and quantitative data to inform budgetary and financial decisions.
• Coordinate with stakeholders to collect requirements and develop data products such as forecast models and dashboards.
• Coordinate with data owners to secure data access and prepare reliable quality data for analyses.
• Study current workflows, identify automation opportunities, and design automated processes.
• Conduct end-user training to strengthen data analytics capabilities.

Skills

Data analysis

Stakeholder coordination

Data quality

Communication

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science or related field

Job description

U.S. Immigration and Customs Enforcement (ICE) is seeking a Data Scientist at the full performance level to extract insights from diverse data sources and inform OCFO decisions.

You will build data products like forecast models, cost calculators, and KPI dashboards while coordinating with data owners to ensure access and quality. The role requires a solid background in mathematics, statistics, computer science, or data science, with demonstrated experience in data analysis, automation, and