ECS Limited
ECS is seeking a Mid-Level Data Scientist to work in our Arlington, VA office. Job Description: Responsibilities: Coordinate with staff and customers to identify business and technical requirements. Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs. Assist the agency in the development of programming and visualization solutions. Troubleshoot and provide support on existing projects or application efforts. Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas. Engineer data analytic solutions, including prototyping, proof of concept, and full implementation. Evaluate, assess, document, and test data security and continuity of operations for systems and programs. Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings. The selected individual will need to live within driving distance of Arlington VA so that they are able to come into the office if needed. Telework will be available, schedule determined by manager. Required Skills: Professional Certification(s) in a related field of data science and/or data analytics disciplines preferred. 5+ years' experience and skill writing coding languages (such as SQL, Python, R, SAS, and Java Scripts). 3+ years' experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods. At least 6 months' experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake. Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the-shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports. Knowledge and experience using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods. Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up (M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.). Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake. Knowledge of SAS Visual Analytics, SAS Enterprise Guide, SAS Studio, Office Analytics, and other SAS tools. Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools. Knowledge of ODBC connection strings, and other external data source connection protocols. Bachelor's Degree in Computer Science, Information Technology, Data Analytics, or related field. Desired Skills: Knowledge of SAS Visual Analytics, SAS Enterprise Guide, SAS Studio, Office Analytics, and other SAS tools. ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state, or local law. ECS promotes affirmative action for minorities, women, disabled persons, and veterans. ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3000+ employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People. About the company ECS is a technology leader in science, engineering, cloud, cybersecurity, artificial intelligence, machine learning and IT modernization. Reach out today. #J-18808-Ljbffr