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# Data Scientist

- **Company:** Accenture
- **Location:** United States
- **Salary:** $120,400.0 - $234,700.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Data Architecture, Data Governance, Data Migration, Data Systems, Python (Programming Language), NoSQL, Operational Data Store, DataOps, Scaled Agile Framework, SQL Databases, Cloud Platform System, Backend, Data Pipelines, Programming Languages
- **Published:** October 4, 2026
- **Apply:** https://www.dice.com/job-detail/34057d7c-25ac-4054-9382-dd76081136e8

## About the Role

* Experience with SQL or NoSQL databases and cloud architectures.
 * Experience in programming languages and libraries such as Python, JavaScript, or Java.
 * Experience leveraging APIs for system queries and data migration.
 * Experience in developing, sustaining, and monitoring data pipelines to support various data formats and interfaces., * Experience working with data enterprise solutions.
 * Familiarity with implementing processes, standards, and tools based on the Scaled Agile Framework for Enterprise (SAFe).
 * Experience in developing dynamic visualizations to monitor operational availability, data currency, and volumetrics.

Security Requirements:

 * TS/SCI level clearance or higher required

## Description

We are seeking a skilled and motivated Data Scientist to support the maintenance and implementation of the data architecture for program-related data. The ideal candidate will possess expertise in designing, maintaining, and optimizing data backend workflows, enabling seamless data operations across security domains and systems while ensuring compliance with data standards. This individual will collaborate with cross-functional teams to deliver robust data solutions and ensure the integrity and availability of critical data pipelines., * Maintain and implement data architecture to support program data requirements.

 * Manage data backend workflows to facilitate secure and efficient data operations across systems and security domains.
 * Ensure compliance with data standards while handling diverse data formats and interfaces.
 * Leverage APIs to query systems and facilitate data migration.
 * Develop, sustain, and monitor operational data pipelines to support program needs.


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