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# Data Scientist

- **Company:** Accenture
- **Location:** Springfield, 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 Governance, Extract Transform Load (ETL), Data Reduction, Data Systems, JSON, Python (Programming Language), Machine Learning, NoSQL, Software Systems, SQL Databases, Extensible Markup Language (XML), Data Processing, Data Analytics, Data Pipelines, Programming Languages
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b3ee4e6d10a09ce8

## About the Role

* Experience working with AI/ML technologies and data systems.
 * Experience working with multiple file types including JSON, XML, etc.
 * Experience in quantitative analysis, visualization development, and processing complex data to produce actionable insights.
 * Experience with data manipulation and ETL procedures.
 * Knowledge of database technologies, including SQL and NoSQL.
 * Development experience in Python, libraries, and other programming languages for data cleaning and manipulation., * Experience applying Natural Language Processing (NLP) algorithms to extract data from documents.
 * Familiarity with enterprise Computer Vision applications, automated data collection, reporting, and data standardization best practices.
 * Expertise in math, statistics, and quantitative analysis, with experience in techniques such as classification, regression, clustering, data reduction, and causal modeling.

## Description

We are seeking a talented and motivated Data Scientist to perform advanced data analysis using statistical and quantitative methods, develop impactful visualizations to support decision-making, and create software solutions to monitor and manage data pipeline tasks. This role requires a strong technical background in data manipulation, AI/ML technologies, and database systems, paired with the ability to generate actionable insights from complex datasets., * Conduct data analysis using statistical and quantitative methods to extract insights and support data-driven decision-making.

 * Develop visualizations to communicate analytical results effectively to diverse stakeholders.
 * Design and implement software solutions to monitor and manage data pipeline tasks.
 * Work with diverse file types, including geospatial formats, JSON, XML, and others, to process and analyze data.
 * Perform data manipulation, extract-transform-load (ETL) processes, and utilize database technologies (SQL and NoSQL).
 * Leverage AI/ML technologies to drive innovation and solve complex data challenges.