< Careers
Senior Data Scientist
Full time
Washington Metro Area, US
Summary

  • 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

  • Cardinal Technology Systems, Corp. is a government IT solutions provider servicing commercial and government initiative in various parts of the United States. We are currently seeking a Senior Data Scientist to work for our company

  • Client Agency is U.S. Customs and Border Protection

  • 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)

  • Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies

  • 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

  • Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions

  • Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching

Requirements

  • United States Citizenship with the ability to obtain a U.S. Customs and Border Protection suitability. Sponsorship will not be provided

  • One CE certification: Oracle/WebLogic, Microsoft, Sun, Okta, or AWS -OR- Relevant certification from a nationally recognized technical authority

  • Bachelor’s Degree (required), Master’s or Ph.D. degree (preferred) in operations research, industrial engineering, mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience

  • 5+ years of related 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

  • Proficiency with SQL programming

  • Experience constructing and executing queries to extract data in support of EDA and model development

  • Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalen

  • 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

  • Oral presentation experience and excellent oral and written communication skills

Preferences

  • Master’s Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience

  • 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, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc

  • 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 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)

Benefits

  • Medical, Dental, Vision Benefits

  • Paid Vacation, Holidays, Sick Leave, Floating Holidays, Bereavement Leave

About Us
Cardinal Technology Systems, Corp (“CTech-Sys”), www.ctech-sys.com, is an SBA Certified 8(a) and HUBZone company located in the National Capital Region (NCR) and serves both government and commercial clients such clients as US CBP, US CIS, DLA, DFuse Technologies, and American Environmental Engineering Consultants.
Cardinal Technology Systems, Corp is an Equal Employment Opportunity employer and it’s our policy to consider applicants for employment without regard to sex, race, color, creed, religion, national origin, sexual orientation, marital status, age, disability, veteran status, alienage, ancestry, or any other factors prohibited by law. Employment selections are based on company and client requirements and the qualifications and skills of the candidate. CTech-Sys is committed to actively capitalizing on the diversity of skills, talents and perspectives of our employees.
Apply now