Senior Data Scientist / Remote

Responsibilities

If you’re looking for a patriotic role and the chance to defend our nation’s cyber infrastructure and enjoy learning about new technologies and how they can be used to provide cutting edge services to our customers, then look to join the Peraton team.

 

We are seeking multiple Senior Data Scientists to join our team. 

 

Location: remote/telework.

 

Position Description:

• Leverage advanced statistical and machine learning techniques to uncover complex patterns in data, build predictive models, and solve complex business problems.
• Framing, defining, and bounding Enterprise level data needs and concerns into broad actionable initiatives with clearly identifiable downstream tasking.
• Performing high-level data requirements analysis to support the application of data standards across the enterprise.
• Operating within, and coordinating across, teams that employ varying development methodologies (Agile, Scrum, and Kanban).
• Possessing an instinctive aptitude to leverage information and knowledge sharing networks and navigating conflict in a way that fosters constructive outcomes.
• Help to ensure that technology choices support strategic needs without being tied to specific solutions.
• Identify TH data assets, projects/ capabilities providing valuable data along with metadata, subject to an authoritative CSD Data Catalog.
• Create core metadata and a standard business glossary for TH data and components to improve the organizational understanding and use of data assets.
• Identify trusted and authoritative TH data sets and establish the required data quality plans in accordance with CDO policy.
• Identify data standards, procedures and policies related, but not limited, to tagging and classification, reduction and retention, enrichment, accessibility, security, and protection. Recommend and/or develop where appropriate and authorized.
• Provide expertise to identify and translate data requirements into software design documentation.
• Identify and document all TH data acquisition sources, along with integration points [Data Discovery].
• Conduct a high-level assessment of data quality to determine “fit” for integration activity, through data profiling or other analysis mechanism. Document findings.
• Document TH data flows, value streams, and use cases to help inform strategic needs outside the context of any specific technology or solution.
• Identify and recommend integration and interoperability standards to improve cross-functional data exchange and minimize the need for middleware and manual processing.
• Identify common metrics to measure and inform data integration and security processes.
• Design, based on TH mission needs, a cloud or hybrid cloud architecture and strategic data requirements to support a more consolidated, flexible, and adaptable CSD technology platform.
• Work with data architect and senior leadership on data centric vision and roadmap.

Qualifications

Basic Qualifications:

• Bachelor’s degree in a STEM related discipline, plus 10 years applicable experience or a master’s degree with 5 years’ experience applicable experience and/or a PhD with 2 years’ experience; degree must be from an accredited college or university in Data Science, Statistics, Biostatistics, Applied Mathematics, Computer Science, Physics, Engineering, or other technical degree in a relevant field.
• Experience and proficiency with machine learning, algorithm analysis, and data clustering, support vector machines, natural language processing, principal component analysis, clustering techniques (e.g., k-means, hierarchical), tree-based techniques, neural networks, or deep learning models.
• Software Development Experience with proficiency in Python, SQL Java, and shell scripting.
• Familiarity with AI/ML tools and experience with operational machine learning pipelines.
• Ability to comprehend and analyze complex problems.
• Excellent written and oral communication.
• Ability to obtain a Top-Secret Clearance.
• Must be able to obtain and maintain a favorably adjudicated DHS background investigation (EOD) for continued employment.

 

Preferred Qualifications: 

• Certified AWS Big Data Specialty.
• Certified AWS AI/ML Specialty.
• Scaled Agile Framework experience.
• Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, or similar.
• Experience with visual analytic tools like Tableau, PowerBI or Visual Analytics.

Peraton Overview

Peraton drives missions of consequence spanning the globe and extending to the farthest reaches