Data Scientist Lead
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What you'll do
- Supports designing and managing data sets to ensure efficient data flow and interoperability with existing and emerging programs.
- Supports the collection and integration of large, complex data sets that meet cross-organizational requirements.
- Evaluates data quality, reliability, and efficiency throughout the data lifecycle.
- Collaborating with other data scientists, software developers, operators, project managers, and clients to prepare data for predictive modeling and develop data architectures.
- Documents internal process improvements to optimize data delivery and automate manual processes.
- Supports testing and validation procedures to ensure operational platforms function correctly, including the ability to gather user feedback, identify issues, conduct updates, and perform routine quality assurance checks.
- Supports the development of essential technical documentation for reference and reporting, which includes documenting processes, system specifications, and modifications.
- Supports data compliance with regulations, develop guidance, and promote ethical use of developed platforms, data repositories, and relevant technical records.
What they're looking for
- Experience in designing and managing data sets to ensure efficient data flow and interoperability.
- Experience in collecting and integrating large, complex data sets that meet cross-organizational requirements.
- Ability to evaluate data quality, reliability, and efficiency throughout the data lifecycle.
- Experience collaborating with cross-functional teams including software developers, operators, and project managers.
- Proficiency in developing data architectures and preparing data for predictive modeling.
- Experience with technical documentation, including documenting processes and system specifications.
- Knowledge of data compliance regulations and ethical data use.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
SAIC is seeking a Data Scientist Lead to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role will contribute to the National Reconnaissance Office's (NRO) Ground Enterprise Directorate (GED) in Chantilly, VA, which oversees the acquisition and lifecycle management of systems from inception to deployment and operations.
As the Data Scientist Lead you will support the analysis of complex data to drive strategic mission efforts. The role supports the resolution of operational and systems problems into data-driven solutions, guides analytic strategy, and advises leadership on mission impact, model risk, and data-informed tradeoffs.
Key duties of this position include (but are not limited to):
- Supports designing and managing data sets to ensure efficient data flow and interoperability with existing and emerging programs.
- Supports the collection and integration of large, complex data sets that meet cross-organizational requirements.
- Evaluates data quality, reliability, and efficiency throughout the data lifecycle.
- Collaborating with other data scientists, software developers, operators, project managers, and clients to prepare data for predictive modeling and develop data architectures.
- Documents internal process improvements to optimize data delivery and automate manual processes.
- Supports testing and validation procedures to ensure operational platforms function correctly, including the ability to gather user feedback, identify issues, conduct updates, and perform routine quality assurance checks.
- Supports the development of essential technical documentation for reference and reporting, which includes documenting processes, system specifications, and modifications.
- Supports data compliance with regulations, develop guidance, and promote ethical use of developed platforms, data repositories, and relevant technical records.
Company
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