Data Scientist

Peraton

1d • $135,000 - $216,000

About The Position

Peraton is seeking a Data Scientist to support the NOAA AWIPS program - the enterprise platform that integrates weather observations, radar data, satellite products, and models used by National Weather Service forecasters to keep the public safe. As AWIPS evolves, data analytics and modeling play an important role in improving system performance and supporting more advanced forecasting capabilities. In this role, you will analyze large datasets and develop insights that enhance AWIPS operations nationwide.

Requirements

• Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
• 4 years of relevant experience will be considered in lieu of a bachelor’s degree
• Experience with data visualization and graphical analytics tools, including Microsoft Office applications (Power BI) and Tableau
• Proficiency in data science and analytics programming languages, such as Python and R
• Demonstrated experience integrating, managing, and merging disparate data sources using Python, R, and/or SQL
• Strong background in statistical analysis, data mining techniques, and algorithm development
• Experience supporting large-scale data analytics, including MultiINT data analysis, machine learning (ML), and automated predictive analytics
• Ability to obtain and maintain a Public Trust clearance
• This position is contingent upon contract award

Responsibilities

• Performs data profiling, statistical validation, and quality checks on ingested datasets to verify successful connectivity and integration of upstream data sources.
• Evaluates raw data feeds for completeness, consistency, schema adherence, latency, and anomaly detection during initial cloud onboarding.
• Supports the development of initial metadata, data dictionaries, and basic data characterization artifacts to ensure datasets are discoverable and usable in downstream processes.
• Conducts exploratory analysis to identify data issues, gaps, or integrity problems arising from ingestion pipelines, routing configurations, or transformation logic.
• Works to validate end-to-end data flows and ensure that integrated datasets meet operational quality thresholds.
• Participates in sprint activities related to data validation, testing, acceptance criteria development, and quality documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees