Systems Engineer IV

Vacancy expired!

Peraton Overview Peraton 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 and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Every day, our 22,000 employees do the cant be done, solving the most daunting challenges facing our customers.

We are an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law.

As a government contractor, Peraton abides by the following provision

Pay Transparency Nondiscrimination Provision

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of the other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information. 41 CFR 60-1.35(c).

Qualifications Required:

• Bachelors degree or higher in systems engineering or in related technical or scientific fields such as data engineering, mathematics, statistics, probability operations research, engineering management, computer science, information science, or related STEM degree program; or Midlevel work experience as a Data Scientist
• Demonstrated experience in at least three of the following: Enterprise Information Architecture, Data Science, Data analytics, Data modeling, Data Engineering creation and guidance, Data management, quality and governance best practices, Data warehousing and curation, SQL, Security and risk management, business analytics, or Cloud data services
• Proficiency in Python (e.g., Flask, DASH, Extract Transform / Transfer Load (ETL), Dynamic Visualization, Backend database connections, statistical analysis)
• System engineering experience in government or industry

Desired:

• Demonstrated experience with structured and unstructured data wrangling, information science
• Demonstrated experience with information engineering, modeling and simulation, and/or business analytics
• Experience engineering solutions using structured and unstructured Big Data

Responsibilities Overall Assignment Description:

Mid-level Data Scientist to employ a multi-discipline approach to provide data science support for OSO. Enable OSO to lead planning, programming and operational activities required to support the data-driven performance analysis of NGAs enterprise data assets. Assist the enterprise to ensure data is useful, accurate, accessible, and coordinated amongst other data sources.

Duties include:

• Assists expert engineers and the Government in OSO data requirements or analysis efforts, projects, and other activities.
• Support OSO by providing the capability to capture enterprise data assets from multiple systems and build robust solutions backed by data analytics, dynamic visualizations, and cross-directorate expertise and data.
• Enable the forecasting of behavior, performance, and analyze trends.
• Manage data analysis project lifecycle, from the brainstorming phase to final production and product delivery.
• Develop and apply quantitative and qualitative analytic methods to identify, collect, and analyze large datasets for specified purposes.

Vacancy expired!