Today
Top Secret
Unspecified
Polygraph
IT - Data Science
McLean, VA (On-Site/Office)
Overview
iota IT, a subsidiary of VTG, is seeking a Data Scientist in the National Capital Region.
What will you do?
Do you have what it takes?
Desired Skills and Demonstrated Experience
iota IT, a subsidiary of VTG, is seeking a Data Scientist in the National Capital Region.
What will you do?
- 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
Do you have what it takes?
- 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
group id: RTL806649
