Active Top Secret Clearance required Linkware is a rapidly growing business solution provider, founded out of the desire to create innovative, mission-focused software solutions for our clients in the national security arena. We specialize in Software and Systems Engineering, Web-based and Mobile Application Development, Enterprise Application Development, Search and Analytics, and Case Management Solutions. By utilizing talented teams of highly motivated, industry experts to meet the unique customization requirements of each project, Linkware provides unparalleled technological expertise and insightful business knowledge to help clients leverage their technology investments. The Client Custom and Border Protection (CBP), is the largest federal law enforcement agency of the United States Department of Homeland Security, charged with regulating and facilitating international trade, collecting import duties, and enforcing U.S. regulations, including trade, customs, and immigration. CBP is the largest law enforcement agency in the United States. Responsibility Within three - six months of joining the project, Senior Data Scientists will be expected to Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation). Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation. Execute projects including those intended to identify patterns andor anomalies in large datasets perform automated textdata classification and categorization as well as entity recognition, resolution and extraction and named entity matching. Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development project lifecycle through written as well as in-person reporting. Qualifications Education Bachelorrsquos Degree (required) in operations research, industrial engineering, mathematics, statistics, computer scienceengineering, or other related technical fields with equivalent practical experience. Required Qualifications 15+ years of relevant work experience Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems Experience with programming languages including R, Python, Scala, Java. Experience with SQL programming Experience constructing and executing queries to extract data Proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent Experience with pattern recognition and extraction, automated classification, and categorization Experience with entity resolution (e.g., record linking, named-entity matching, deduplication disambiguation) Experience with unsupervised and supervised machine learning techniques and methods Experience performing data mining, analysis, and training set construction Desired Qualifications Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, RandomRotation Forests, CategorizationClassification, Neural Nets, Bayesian Networks, etc. Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI) Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Experience working with large-scale (e.g., terabyte and petabyte) unstructured and structured data sets and databases Clearance Active Top Secret clearances Linkware provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Linkware complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.