Data Scientist

Data ScientistTS/SCI with Favorable Polygraph is required for this position. We are seeking a motivated Data Scientist to join our team in the Northern Virginia area. The Data Scientist will collaborate with product design and engineering teams to implement data analytics solutions meeting the customer's needs. The Data Scientist will have experience with extract, transform, and load. While implementing the ETL process, this Data Scientist should ask questions, connect the dots, and uncover opportunities pertaining to the data examined. A strong Data Scientist will create support data visualization to aid in decision making, AI capabilities, and evaluate large data sets supporting novel solutions.Roles & ResponsibilitiesSupport the development of recommendations and aid in the decision-making process by using statistical data analysis, testing, and modeling of large data setsIdentify and document areas for improvement in workflows or systemsResearch and document options for collecting or aggregating data from a variety of sourcesUse languages, such as Python, to collect and process data from a variety of sourcesLeverage the use of APIs and computing platforms to support data collection, management, and analysisCreate, maintain, and enhance systems in support of data visualization and analyticsAutomate data management, clean-up, and conditioning of data sets through the use of scripts or algorithmsRequired Skill Sets:Experience programming or scripting and debugging in one or more languages such as: Python, Javascript, R, SQL, Scala, etc.Proficiency with data mining, mathematics, and statistical analysis demonstrated with hands-on academic and project experience conducting statistical analysis, testing, and modeling using regression analysis, linear regression, predictive modeling, chi-squared, clustering (K-means, density, etc)Experience using tools such as tools such as MATLAB, SAS, and InfoSphereExperience with a combination of database tools and cloud components supporting ETL, such as: SQL, mySQL, and Data Lakes, AWS S3, IBM Cloud, and/or Microsoft Azure Data ExplorerExperience working with data in a variety of structured and unstructured formats.Experience with data visualization tools, computing platforms, and applications such as: Juptyer, Elasticsearch, DataBricks, Apache Zeppelin, Kibana, and/or TableauExperience supporting the development of AI/ML algorithms, such as natural language processing in a production environmentExperience configuring and utilizing data management tools, such as Hadoop, MapReduce, or similar.Ability to translate complex, technical findings into an easily understood summary in graphical, verbal, or written formsMust have an active TS/SCI with Favorable Polygraph to be considered for this role