Data Scientist

iota IT, a subsidiary of VTG, is seeking a Data Scientist in the National Capital Region.

• Transform complex data landscapes and drive strategic insights as a Data Scientist at the forefront of innovative technological solutions!
• Identify and gather data from internal systems and external sources.
• Extract data using SQL, APIs, or data pipeline tools.
• Clean, transform, and validate data to ensure accuracy and usability.
• Engineer new features that enhance model performance.
• Analyze datasets to identify patterns, trends, and relationships.
• Use statistical techniques and visualizations to uncover insights and inform modeling choices.
• Build, test, and refine statistical and machine learning models.
• Evaluate models using appropriate metrics and validation strategies.
• Document methodology, assumptions, and results for reproducibility.
• Insight Generation & Communication
• Translate analytical findings into clear, actionable recommendations.
• Create visualizations, dashboards, and presentations for stakeholders.
• Communicate complex concepts in a concise and accessible manner.
• Deployment & Operationalization
• Collaborate with engineering teams to deploy models into production environments.
• Develop scalable model pipelines and monitoring frameworks.
• Support ongoing model maintenance and retraining.
• Experimentation & Causal Analysis
• Design, implement, and analyze A/B tests and other experiments.
• Apply causal inference techniques to measure the impact of initiatives.
• Collaboration & Continuous Improvement
• Partner with cross-functional stakeholders to understand business objectives and define data-driven opportunities.
• Translate ambiguous questions into structured analytical problems.
• Work closely with product, engineering, and business teams.
• Stay current with industry trends, tools, and best practices.
• Ensure ethical data usage and adherence to privacy and compliance standard

• Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance, with polygraph.
• Bachelor's Degree in Computer Science, Engineering or related field.
• Demonstrated experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems.
• Demonstrated experience with data management and integration, including designing and operating robust data layers for application development across local and cloud or web data sources.
• Demonstrated work experience programming with Python
• Demonstrated experience building scalable ETL and ELT workflows for reporting and analytics.
• Demonstrated experience with general Linux computing and advanced bash scripting
• Demonstrated experience with SQL.
• Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS
• Demonstrated experience processing data sources containing structured or unstructured data
• Demonstrated experience developing data pipelines with NiFi to bring data into a central environment
• Demonstrated experience delivering results to stakeholders through written documentation and oral briefings
• Demonstrated experience using code repositories such as Git
• Demonstrated experience using Elastic and Kibana technologies
• Demonstrated experience working with multiple stakeholders
• Demonstrated experience documenting such artifacts as code, Python packages and methodologies
• Demonstrated experience using Jupyter Notebooks
• Demonstrated experience with machine learning techniques including natural language processing
• Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats
• Demonstrated experience developing tested, reusable and reproducible work
• Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics

Desired Skills and Demonstrated Experience

• Demonstrated experience with cloud services, such as AWS, as well as cloud data technologies and architecture.
• Demonstrated experience using big data processing tools such as Apache Spark or Trino
• Demonstrated experience with machine learning algorithms
• Demonstrated experience with using container frameworks such as Docker or Kubernetes
• Demonstrated experience with using data visualizations tools such as Tableau, Kibana or Apache Superset
• Demonstrated experience creating learning objectives and creating teaching curriculum in technical or scientific fields