Data Scientist

Cloud Analytics Technologies, LLC; Chantilly (VA); On-site; USD 120,000 - 170,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking a senior data engineer to lead design, development, integration, and analysis of complex data environments. You will consolidate, transform, manage, and analyze structured and unstructured data from diverse sources, applying advanced statistics and ML/AI readiness across systems.

You will collaborate with software and data engineers, system admins, and analysts, driving data quality, governance, and CI/CD-enabled data pipelines while addressing data

Qualifications

• 6+ years of experience managing, integrating, or troubleshooting data flows between applications and/or systems.
• Strong understanding of how application data is generated, managed, transformed, transferred, and consumed across interconnected systems.
• Demonstrated experience analyzing complex technical problems and developing practical, data-driven solutions.
• Experience identifying analytical data requirements and determining appropriate data sources, structures, and processes to support those requirements.
• Experience with dataset management, data quality, data integration, and associated processes.
• Understanding of software development and CI/CD pipelines and how data processes integrate with application development and deployment environments.
• Understanding of how machine learning and artificial intelligence capabilities utilize, process, and derive value from data.

Responsibilities

• Design, develop, and implement methods and processes to collect, integrate, transform, manage, and analyze large and complex datasets from disparate sources.
• Develop and apply advanced statistical concepts, algorithms, queries, and automated processes to clean, model, integrate, and evaluate structured and unstructured data.
• Analyze complex data flows between applications and identify opportunities to improve data quality, integrity, accessibility, and usability.
• Identify analytical data requirements and develop solutions to support operational, business, and mission objectives.
• Evaluate data structures, sources, interfaces, and dependencies to identify gaps, inconsistencies, and opportunities for improvement.
• Collaborate with software engineers, data engineers, system administrators, analysts, and other technical stakeholders to integrate and leverage data across applications and environments.
• Support the development and integration of ML/AI capabilities by understanding data requirements, data preparation, and the use of data throughout the ML/AI lifecycle.
• Develop and maintain automated data processes and support data integration within CI/CD environments.
• Investigate complex data and system issues, determine root causes, and develop practical solutions.
• Communicate technical findings, data issues, risks, and recommended solutions clearly to technical teams and program leadership.
• Contribute to data standards, governance, documentation, and dataset management processes.

Skills

Data integration

Data quality

Analytical problem solving

CI/CD pipelines

ML/AI data lifecycle

Education

Bachelor's degree or equivalent experience

Tools

CI/CD tooling

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

This role will provide senior-level expertise in the design, development, integration, and analysis of complex data environments. The successful candidate will develop methods, processes, and systems to consolidate, transform, manage, and analyze structured and unstructured data from diverse and disparate sources.
Roles & Responsibilities:

• Design, develop, and implement methods and processes to collect, integrate, transform, manage, and analyze large and complex datasets from disparate sources.
• Develop and apply advanced statistical concepts, algorithms, queries, and automated processes to clean, model, integrate, and evaluate structured and unstructured data.
• Analyze complex data flows between applications and identify opportunities to improve data quality, integrity, accessibility, and usability.
• Identify analytical data requirements and develop solutions to support operational, business, and mission objectives.
• Evaluate data structures, sources, interfaces, and dependencies to identify gaps, inconsistencies, and opportunities for improvement.
• Collaborate with software engineers, data engineers, system administrators, analysts, and other technical stakeholders to integrate and leverage data across applications and environments.
• Support the development and integration of ML/AI capabilities by understanding data requirements, data preparation, and the use of data throughout the ML/AI lifecycle.
• Develop and maintain automated data processes and support data integration within CI/CD environments.
• Investigate complex data and system issues, determine root causes, and develop practical solutions.
• Communicate technical findings, data issues, risks, and recommended solutions clearly to technical teams and program leadership.
• Contribute to data standards, governance, documentation, and dataset management processes.

Required Qualifications:

• Additional years of experience may be considered in lieu of a degree
• 6+ years of experience managing, integrating, or troubleshooting data flows between applications and/or systems.
• Strong understanding of how application data is generated, managed, transformed, transferred, and consumed across interconnected systems.
• Demonstrated experience analyzing complex technical problems and developing practical, data-driven solutions.
• Experience identifying analytical data requirements and determining appropriate data sources, structures, and processes to support those requirements.
• Experience with dataset management, data quality, data integration, and associated processes.
• Understanding of software development and CI/CD pipelines and how data processes integrate with application development and deployment environments.
• Understanding of how machine learning and artificial intelligence capabilities utilize, process, and derive value from data.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Some of our Business Ventures - Knowledge Analytics

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