This position is for a SAS Developer with expertise in the SAS EG, Enterprise Miner and BI. UNIX scripting, and/or Oracle PL/SQL is a plus. Strong knowledge of data analysis methodology, statistics, strong communication skills and a strong commitment to and affinity for delivering the highest quality of products.
Identify and implement new and/or alternative statistical or other mathematical methodologies appropriate for the given model or analysis
Very good knowledge of SAS products concepts, design and coding. Proven experience in developing functional applications and systems of medium to high technical complexity is required
Design data integration/ETL jobs using SAS and its foundation tools
Maintain, enhance, and optimize SAS jobs
Analyze, Design, Optimize and implement Oracle PL/SQL stored procedures.
Independently research, escalate, and resolve projects to be developed in SAS
Understands how to optimize joint development efforts through appropriate project design, database use, code creation, and software architecture.
Develops design specifications in compliance with IT Architecture.
Experience with a variety of analytics methods such as machine learning, link analysis, predictive modeling, natural language processing, text mining, simulations, unstructured data analysis. Working knowledge of data bases including Oracle.
Capability in understanding various data structures and formats and common techniques in data transformation
Solid development experience in working with SAS, Oracle and SQL Server
Ability to help set priorities in regards to internal timelines and deliverable dates.
Critical thinking skills, solid work ethic with flexibility and willingness to take on new responsibilities, learn and work with new systems
Data manipulation, exploration, analysis, and data integrity (experience of manipulating data of varied sources and targets like, XML and Flat Files)
10+ years experience in SAS, data processing, ETL, database programming and/or data analytics. MS Degree or equivalent experience in mathematics, statistics, operations research, quantitative finance, physics, engineering, computer science, or similar technical field is preferred. Works independently.
Requires active DOD Top Secret Security Clearance.
Work is in Vienna, VA