The U.S. Citizenship and Immigration Services (USCIS), Office of Information Technology (OIT) is seeking to acquire highly qualified cross-functional Data Scientists and developers. The Transformation Data Science Services (TDSS) II team will be part of an ecosystem, participating with federal employees, and other contractors, in a team-based Development and Operations (DevOps) approach to deliver business value (the performance measurements, Key Performance Parameters (KPPs) are established in Operational Requirements Document (ORD)) frequently, cost-effectively, responsively, and with high quality.
The TDSS II teams shall provide Data Analytics Services within the DevOps framework; perform analysis of the USCIS Electronic Immigration System (USCIS ELIS) and related data for forecasting and system growth analysis. This analysis is intended to support data-driven decision-making, as well as development of automated dashboards and tools, which provide analytic insight to ELIS program.
Translate business requirements into technical requirements.
Utilize the ELIS roadmap to conduct an exploratory statistical analysis for each ELIS line of business.
Conduct ELIS data analysis to measure efficiency and effectiveness of new ELIS functionality.
Apply an analytics-driven approach, including machine learning, to surface unusual patterns or behaviors during case processing.
Define sensible metrics to build descriptive, predictive and prescriptive models.
Extract, transform and load (ETL) structured and unstructured data into Databricks Unified Analytics Platform.
Perform analytics in Databricks Unified Analytics Platform.
Store methods that are employed for the Statistical Data Analysis and Reporting along with each analysis in GitHub.
Develop and sustain Program Dashboard with Tableau and open source tools.
Comply with ELIS DevOps development, testing, and standard operational procedures (SOP).
Collaborate with other vendors, stakeholders, and government employees to collect data needed to aid decision-making.
Maintain good configuration and data management methods.
Use DHS USCIS approved methods and tools.
Bachelors with 9+ years of experience in data science or a related field (computer science, statistics, operations research, economics, mathematics, physics, engineering), or Masters with 7+ years, or PhD with 4+ years of experience.
9+ years of relevant experience manipulating data from disparate data sources, building machine learning and deep learning models.
Excellent analytical skills, problem solving and troubleshooting ability.
Experience with the data science lifecycle, and the Agile methodology.
Experience applying data science techniques, including machine learning, deep learning, statistical modeling and/or data visualization to solve challenging business problems.
Experience with model development and deployment in a cloud environment (AWS preferred).
Strong technical documentation and presentation skills.
Experience with SQL (Oracle, PostgreSQL).
Experience in Databricks products, or extensive experience in Apache Spark.
Experience in BI and open-source data visualization tools to create and enhance interactive dashboards.
Experience providing potential technical solutions to meet business needs and supporting analysis of alternatives for best fit.
Experience in providing research on emerging technologies to support proof-of-concept (POC) capabilities and identify future solutions for the organization.