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# Data Scientist

- **Company:** Accenture
- **Location:** Chantilly, VA, United States
- **Salary:** $120,400.0 - $234,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, Big Data, Cluster Analysis, Databases, Data Cleansing, Data Files, Data Governance, Extract Transform Load (ETL), Data Systems, Data Visualization, JSON, Python (Programming Language), Machine Learning, NoSQL, Standard Sql, Software Engineering, SQL Databases, Extensible Markup Language (XML), Data Processing, Data Pipelines
- **Published:** October 4, 2026
- **Apply:** https://dejobs.org/x/x/9697C7D379A7431CB3530E9578C6685A/job/

## About the Role

* Experience with AI/ML technologies

 * Proficiency working with multiple data file types, image files, including geospatial formats, JSON, XML, and others.

 * Strong background in quantitative analysis, data visualization, and processing complex datasets.

 * Hands-on experience with ETL workflows and data manipulation techniques.

 * Working knowledge of SQL and NoSQL database technologies.

 * Development experience using Python and additional languages for data cleaning, transformation, and automation.

Desired Skills

 * Experience applying Natural Language Processing (NLP) algorithms to extract information from documents.

 * Background in enterprise-level Computer Vision, automated data collection, automated reporting, and data standardization best practices.

 * Demonstrated expertise in mathematics, statistics, and quantitative analysis.

 * Familiarity with analytic techniques such as classification, regression, clustering, dimensionality reduction, and causal modeling.

Clearance Requirements

 * TS/SCI or higher clearance level required

## Description

In this role, you will perform in-depth file & data analysis using statistical and quantitative methods, develop visualizations that support decision-making, and build software tools to monitor and manage data pipeline activities. You will work with a wide range of data formats, apply advanced analytic techniques, and contribute to the development of automated systems that enhance data processing and insight generation., * Conduct data analysis using statistical and quantitative approaches.

 * Create visualizations that communicate trends, patterns, and insights to support decision-making.

 * Develop software solutions that improve monitoring, automation, and management of data pipeline tasks.

 * Process and transform complex datasets to produce actionable, data-driven insights.

 * Perform data manipulation and execute extract, transform, and load (ETL) procedures.

 * Work with various database technologies, including SQL and NoSQL systems.

 * Collaborate on projects involving AI/ML technologies and modern data systems.


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