Position Description INADEV Corporation is seeking a Senior Data Scientist for an on-going contract with one of our federal clients based in the Baltimore area. The selected candidate will compile data to address the most complex data concerns, as well as identify and network with appropriate internal sources to gather andor exchange data on specialized matters. Other key responsibilities may include bull Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution bull Advise on the methods and data needed andor available to evaluate the (intelligence or data?) problem bull Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems bull Provide accurate, timely, complex and sophisticated data analysis bull Determine and employ the most appropriate research design for data collection and analysis bull Analyze, evaluate, and assess quantitative data (using statistical software, computer models, geospatial models, software languages, and mathematical models) to contribute to or develop software tools, analytic models, or reports. Detailed Skills Requirements Required Skills bull Ph.D. or Masters in a highly analytic field such as Mathematics, Statistics, Computer Science, Physics, Data Science, etc. bull A documented minimum of 3 years' hands-on expert-level experience working with real world data sets in predictive modelling using a scripting language such as Python, MATLAB andor R. Preference for Python, then R and then MATLAB. 9702Specifically, experience doing classification and regression with support vector machines, random forests, linear and non-linear regression, etc. on real world data. bull Expert knowledge in conducting data analysis and applying advanced statistical concepts and machine learning methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models. bull Ability to clean and process large amounts of real-world data. bull Experience retrieving and manipulating data from a variety of data sources included Db2, Oracle, SQL Server, Hadoop and flat files. bull Experience with database management systems, e.g. MySQL, SQLite, SQL, etc. bull Either experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e. Spark, Impala and Hive. bull Experience working in a Linux environment via terminal commands. bull Experience presenting data and results to both technical and non-technical audiences in a clear and effective manner. bull Ability to obtain a Public Trust clearance. Desired Skills bull An in-depth knowledge of Social Security Administration (SSA) protocols concerning death processing, debt management, data reporting, etc. bull Knowledge of and experience handling SSA master files and related data. bull Natural language processing experience. bull VBA scripting experience bull Experience using markup languages such as LaTeX, HTML, etc. bull Experience using Agile team development. bull Experience teaching and mentoring in any and all the above Education 8203M.S. in Data Science, Analytics, Operations Research, Mathematics or similar field of study. PhD preferred.
Associated topics: data administrator, data architect, data center, data integration, data integrity, data quality, erp, mongo database administrator, sql, sybase