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 and evaluate large data sets supporting novel solutions. Additional information regarding the role, responsibilities, and required skill sets are below. Roles & Responsibilities
• Support the development of recommendations and aid in the decision-making process by using statistical data analysis, testing, and modeling of large data sets
• Identify and document areas for improvement in workflows or systems
• Research and document options for collecting or aggregating data from a variety of sources
• Use languages, such as Python, to collect and process data from a variety of sources
• Leverage the use of APIs and computing platforms to support data collection, management, and analysis
• Create, maintain, and enhance systems in support of data visualization and analytics
• Automate data management, clean-up, and conditioning of data sets through the use of scripts or algorithms Required Skill Sets:
• E xperience 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 InfoSphere • Experience 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 Explorer .
• Experience 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 Tableau
• Experience supporting the development of AI/ML algorithms, such as natural language processing in a production environment
• Experience 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 forms
• Must have an active TS/SCI with Favorable Polygraph to be considered for this role