LEAD DATA SCIENTIST
Naval Sea Systems Command · Keyport, Washington
Skills in this posting
The posting
You will serve as the technical lead and product owner for the design and development of a cloud-based data management environment referred to as TorpNet.
You will write production-grade code for a full-stack, cloud-native application, migrating the organization to a single source of truth.
You will integrate external technical expertise, coordinating with specialized security and software engineering personnel.
You will ensure all developed software meets high-quality industry standards and successfully achieves an Authority to Operate (ATO).
You will implement automated data validation and tracking mechanisms within the codebase to guarantee data integrity and ensure leadership can rely on trusted, live metrics.
You will serve as the technical anchor for the TorpNet development team.
You will lead Agile development sprints, break down stakeholder requirements into actionable technical tasks, and direct the daily project work of a cross-functional team of developers and data scientists.
In addition to the Basic Requirements for this position, your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-12 grade level or pay band in the Federal service or equivalent experience in the private or public sector.
Specialized experience must demonstrate the following: As a professional scientist leading the design and development of data-centric software applications, including creating automated data pipelines, and developing and deploying applications within a cloud-based infrastructure.
Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series AND https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/ Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social).
Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.
The PivotHop read
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- Where data scientists move nextevery measured route out
- Machine Learning Engineer → Data Scientist70% readiness
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