Senior Data Scientist with Top Secret clearance

Responsibilities

Position Overview

We are seeking an experienced Data Scientist / Subject Matter Expert (SME) to support a classified government contract. The successful candidate will provide technical expertise in analyzing and interpreting complex data to inform enterprise data management decisions identify opportunities for the application of Data Science and develop innovative solutions that address customer mission requirements.

The Data Scientist will support multiple customer organizations and Chief Artificial Intelligence Officer (CAIO) initiatives by identifying and evaluating opportunities to apply advanced analytics artificial intelligence and machine learning to customer data assets. The position will help bridge the gap between mission requirements data assets and emerging AI/ML capabilities.

The role requires extensive collaboration with government stakeholders technical teams external customers and IC partners. The Data Scientist will contribute to the development and implementation of technical solutions support integration of AI capabilities with existing customer data environments and help establish repeatable approaches for leveraging Data Science across the enterprise.

Key Responsibilities

• Serve as a Data Science SME providing technical leadership and expertise across customer organizations and mission areas.
• Analyze interpret and derive insights from complex heterogeneous and large-scale datasets to support mission and enterprise decision-making.
• Identify opportunities to apply Data Science advanced analytics artificial intelligence and machine learning to customer mission challenges.
• Assess customer data assets to determine their suitability for advanced analytics and AI/ML applications.
• Support CAIO initiatives by identifying evaluating prioritizing and implementing Data Science and AI use cases.
• Translate mission and business requirements into Data Science problems analytical approaches technical requirements and implementation strategies.
• Develop statistical models machine learning models algorithms and analytical methodologies to address complex customer requirements.
• Design and develop prototypes and proof-of-concept solutions to demonstrate the potential value of Data Science and AI capabilities.
• Support the transition of successful prototypes and analytical capabilities into operational or production environments.
• Integrate AI and Data Science solutions with existing customer data assets platforms pipelines and analytic environments.
• Collaborate with data engineers data architects software developers AI/ML engineers and other technical personnel to develop end-to-end solutions.
• Provide technical support to other customer organizations seeking to identify and implement Data Science opportunities.
• Coordinate with external customers mission partners IC organizations and other stakeholders to define requirements and develop interoperable technical solutions.
• Participate in technical working groups design sessions and collaborative forums focused on Data Science AI and enterprise data capabilities.
• Evaluate emerging Data Science AI/ML and analytical technologies and recommend capabilities that can improve customer mission effectiveness.
• Assess data quality availability structure provenance and other characteristics that may affect analytical and AI solution development.
• Identify data management challenges and recommend improvements required to enable effective Data Science and AI applications.
• Develop reusable analytical methodologies models frameworks and technical approaches that can be applied across multiple customer organizations.
• Support development of standards best practices and repeatable processes for Data Science experimentation evaluation implementation and operationalization.
• Develop analytical documentation technical specifications model documentation methodologies and implementation plans.
• Validate analytical models and results and communicate assumptions limitations risks and findings to technical and non-technical stakeholders.
• Brief government leadership and mission stakeholders on Data Science opportunities analytical findings technical approaches and recommendations.
• Serve as a trusted technical advisor on the application of Data Science and AI to customer data and mission requirements.
• Ensure all solutions and activities comply with applicable security classification data governance privacy and customer policies.

Qualifications

Required Qualifications

• Bachelors degree in Data Science Computer Science Statistics Mathematics Engineering Artificial Intelligence or a related technical discipline; equivalent experience may be considered.
• 12 years of relevant experience in Data Science advanced analytics machine learning artificial intelligence statistics or a related discipline; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.
• Active TS or Q clearance or higher is required. Ability to obtain Q/SCI.
• Demonstrated experience analyzing and interpreting complex datasets to produce actionable insights.
• Experience developing and implementing Data Science statistical or machine learning models.
• Strong programming experience with Python R or equivalent analytical programming languages.
• Strong SQL and experience working with structured and/or unstructured data.
• Experience applying statistical analysis predictive modeling machine learning or other advanced analytical techniques.
• Demonstrated experience translating mission business or operational requirements into analytical and technical solutions.
• Experience working with complex enterprise data environments and disparate data sources.
• Experience integrating analytical or AI/ML solutions with data platforms applications pipelines or other technical environments.
• Understanding of data management principles including data quality metadata data governance data lineage data interoperability and data sharing.
• Demonstrated ability to work across multiple organizations and collaborate with diverse technical and mission stakeholders.
• Strong problem-solving communication presentation and technical writing skills.
• Ability to work independently as an SME while effectively collaborating within multidisciplinary teams.

Preferred Qualifications

• Previous experience supporting the Intelligence Community Department of Energy or other U.S. Government mission environments.
• Experience supporting a government CAIO AI or enterprise Data Science organization.
• Experience identifying and evaluating AI/ML use cases within enterprise or mission environments.
• Experience integrating AI/ML solutions with existing government data assets and enterprise data platforms.
• Experience with generative AI large language models natural language processing computer vision knowledge graphs or other advanced AI capabilities.
• Experience with cloud-based Data Science and AI environments including AWS Azure or other government cloud platforms.

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider we deliver trusted highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land sea space air and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day our employees do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.

Target Salary Range

$146000 - $234000. This represents the typical salary range for this position. Salary is determined by various factors including but not limited to the scope and responsibilities of the position the individuals experience education knowledge skills and competencies as well as geographic location and business and contract considerations. Depending on the position employees may be eligible for overtime shift differential and a discretionary bonus in addition to base pay.

EEO

EEO: Equal opportunity employer including disability and protected veterans or other characteristics protected by law.

Required Experience:

Senior IC