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Data Scientist
Applied Information Sciences • McLean, VA 22030 • Posted 4 days ago
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In-person • Full-time • Senior Level
Job Highlights
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The Data Scientist at Applied Information Sciences will develop data and metadata policies and procedures, oversee the design and support of major databases and metadata structures, and provide technical direction on database performance and risk analysis. This role involves strategic oversight of database structural design and development, ensuring integration with corporate data standards, and offering technical advice and guidance on new data standards and databases.
Responsibilities
- Develop data and metadata policies and procedures for structural design and development.
- Monitor industry trends and directions in database technology and tools.
- Develop and present substantive technical recommendations to the Sponsor.
- Oversee the design, evaluation, selection, implementation, and support of major databases and metadata structures.
- Review and evaluate database performance and risk and financial analysis feasibility studies.
- Provide technical direction to the maintenance of major existing databases supporting evolving applications and business processes.
- Provide comprehensive assessments of the technical characteristics of proposals and alternatives to optimize database performance.
- Provide extensive technical, strategic advice and guidance in the creation and implementation of new data standards and databases.
- Provide technical oversight and direction to designated boards for integrating new technology or major new mission capabilities into the metadata and data standards.
- Review and assess technical proposals requesting changes or upgrades to the existing databases.
- Serve as the lead technical resource in the strategic oversight and planning of data models and database structural design and development.
Qualifications
Required
- Demonstrated experience with database structure principles
- Demonstrated experience in data architecture
- Demonstrated experience in data modeling and design, including SQL development and database administration
- Demonstrated experience in data visualization, data migration and data modeling
- Demonstrated experience in relational database management systems (DBMS)
- Demonstrated experience in DBMS software, including SQL Server
- Demonstrated experience in database and cloud computing design, architectures and data lakes
- Demonstrated experience in configuration and administration of enterprise level data stores, ETL and ELT methods, and batch and streaming data transport
- Demonstrated experience gathering and analyzing system requirements
- Demonstrated experience with Version control systems such as Git
- Demonstrated experience with programming languages Java and Python
- Demonstrated experience with Linux, Unix, Solaris and Windows
- Demonstrated experience with Agile development methodologies and JIRA
- Demonstrated experience working in a fast-paced, technically challenging area; ability to anticipate and manage changes or problems; assess impacts and recommend sound solutions
- Demonstrated experience building automation tools such as Gradle, Maven
- Demonstrated experience with the development of system prototypes and proof of concept
Preferred
- Demonstrated experience with the Sponsor's authentication and authorization process
- Demonstrated experience with supporting enterprise level production
- Demonstrated experience briefing technical topics to a non-technical audience
- Demonstrated experience in strong oral and written communication
- AWS Certification or other relevant certifications
About Applied Information Sciences
Applied Information Sciences (AIS) is a leading IT consulting firm specializing in software and systems engineering services for government agencies and enterprises. They offer a wide range of services, including cloud adoption, custom application development, data analytics, and emerging technologies, to help clients modernize their operations and achieve their goals in the IT industry. AIS is dedicated to delivering innovative solutions that empower businesses to succeed.
Full Job Description
If you're seeking a sense of community and the ability for growth, look no further. Since 1982, we have been 100% dedicated to our people. Our approach permits greater ownership for individuals and welcomes input into decisions for a thriving workplace and happy employees. Our people are the core reason for AIS' success. As an employee owned company, we are looking for individuals that are passionate about finding innovative solutions, and excited about emerging technologies and capabilities.
Intro
The Data Scientist shall develop data and metadata policies and procedures for structural design and development to build, maintain and leverage the data model, ensuring integration with corporate data standards The Data Scientist shall monitor industry trends and directions in database technology and tools. The Data Scientist shall develop and present substantive technical recommendations to the Sponsor. The Data Scientist shall oversee the design, evaluation, selection, implementation and support of major databases and metadata structures. The Data Scientist shall review and evaluate database performance and risk and financial analysis feasibility studies. The Data Scientist shall oversee the strategic structural design and development of databases and metadata. The Data Scientist shall provide technical direction to the maintenance of major existing databases supporting evolving applications and business processes.
What You'll Be Doing
The Data Scientist shall provide comprehensive assessments of the technical characteristics of proposals and alternatives considered to optimize database performance. The Data Scientist shall provide extensive technical, strategic advice and guidance in the creation and implementation of new data standards and databases. The Data Scientist shall provide technical oversight and direction to designated boards for integrating new technology or major new mission capabilities into the metadata and data standards and structures. The Data Scientist shall review and assess technical proposals requesting changes or upgrades to the existing databases. The Data Scientist shall serve as the lead technical resource in the strategic oversight and planning of data models and database structural design and development.
Qualifications
Nice to Have Skills:
Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law. Employment decisions are based solely on qualifications, merit, and business need.
Intro
The Data Scientist shall develop data and metadata policies and procedures for structural design and development to build, maintain and leverage the data model, ensuring integration with corporate data standards The Data Scientist shall monitor industry trends and directions in database technology and tools. The Data Scientist shall develop and present substantive technical recommendations to the Sponsor. The Data Scientist shall oversee the design, evaluation, selection, implementation and support of major databases and metadata structures. The Data Scientist shall review and evaluate database performance and risk and financial analysis feasibility studies. The Data Scientist shall oversee the strategic structural design and development of databases and metadata. The Data Scientist shall provide technical direction to the maintenance of major existing databases supporting evolving applications and business processes.
What You'll Be Doing
The Data Scientist shall provide comprehensive assessments of the technical characteristics of proposals and alternatives considered to optimize database performance. The Data Scientist shall provide extensive technical, strategic advice and guidance in the creation and implementation of new data standards and databases. The Data Scientist shall provide technical oversight and direction to designated boards for integrating new technology or major new mission capabilities into the metadata and data standards and structures. The Data Scientist shall review and assess technical proposals requesting changes or upgrades to the existing databases. The Data Scientist shall serve as the lead technical resource in the strategic oversight and planning of data models and database structural design and development.
Qualifications
- Demonstrated experience with and understanding of database structure principles
- Demonstrated experience in data architecture.
- Demonstrated experience in data modeling and design, including SQL development and database administration.
- Demonstrated experience in data visualization, data migration and data modeling.
- Demonstrated experience in relational database management systems (DBMS).
- Demonstrated experience in DBMS software, including SQL Server.
- Demonstrated experience in database and cloud computing design, architectures and data lakes.
- Demonstrated experience in configuration and administration of enterprise level data stores, ETL and ELT methods, and batch and streaming data transport.
- Demonstrated experience gathering and analyzing system requirements.
- Demonstrated experience with Version control systems such as Git.
- Demonstrated experience with programming languages Java and Python.
- Demonstrated experience with Linux, Unix, Solaris and Windows.
- Demonstrated experience with Agile development methodologies and JIRA.
- Demonstrated experience working in a fast-paced, technically challenging area; ability to anticipate and manage changes or problems; assess impacts and recommend sound solutions.
- Demonstrated experience building automation tools such as Gradle, Maven.
- Demonstrated experience with the development of system prototypes and proof of concept in order to demonstrate proper application of design principles)
Nice to Have Skills:
- Demonstrated experience with the Sponsor's authentication and authorization process.
- Demonstrated experience with supporting enterprise level production
- Demonstrated experience briefing technical topics to a non-technical audience.
- Demonstrated experience in strong oral and written communication.
- AWS Certification or other relevant certifications
Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law. Employment decisions are based solely on qualifications, merit, and business need.
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