Data Scientist

Data ScientistThis is a remote position. We are seeking a Data Scientist to join our team in support of a government customer. This is hybrid position located in Ashburn, VA. Overview The Data Scientist will help lead the development and delivery of high-quality predictive modelling solutions.Responsibilities:Lead and 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.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: Bachelor's Degree (required) in operations research, industrial engineering, mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience.Required Qualifications:7-12 years of relevant experienceExperience in applying advanced analytics solutions to solve complex business problemsExperience with programming languages including: R, Python, JavaScript, Visual BasicExperience with creating VBA applications and macros to structure, manage, and wrangle key datasetsExperience with core data science libraries – Pandas, NumPy, Matplotlib, Plotly, etc.Experience with Anaconda distribution of Python for package management and deploymentFamiliarity with command-line shell programming (Powershell, cmd, etc.)Proficiency with SQL programmingFamiliarity with RESTful APIs, web scraping, and processing unstructured dataKnowledge of visualization and presentation techniques including Tableau, Power BI, Jupyter Notebooks, etc.Knowledge of cloud technologies such as AWS or GoogleProficiency using git for version control, collaboration, and code reviewFamiliarity with software organization tools and frameworks (Docker, virtual environments, etc.)Experience with engineering and development collaboration tools such as Jira and Confluence.Experience with Natural Language Processing (NLP), computational linguistics, Entity extraction, named entity recognition (NER), name matching, disambiguation,).Experience constructing and executing queries to extract data in support of EDA and model developmentExperience with unsupervised and supervised machine learning techniques and methodsExperience working with large-scale (e.g., terabyte and petabyte) unstructured and structured data sets and databasesExperience performing data mining, analysis, and training set constructionDesired 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, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.Experience with pattern recognition and extraction, automated classification, and categorizationExperience 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)Master's Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experienceActive Top Secret Clearance: Selected applicants must be a US Citizen and able to obtain and maintain a government security clearance