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# Data Scientist

- **Company:** The Bridge Ltd
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Big Data, Databases, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Mining, Data Visualization, Database Design, DevOps, Python (Programming Language), PostgreSQL, Microsoft Office, Microsoft SQL Server, Recommender Systems, Power BI, Standard Sql, SonarQube, SQL Databases, Tableau (Software), Git, Data Analytics, Jenkins
- **Published:** July 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bce04af50303b38f

## About the Role

* Bachelor's degree + 8 years of experience or 12 years of experience in lieu of a degree
 * 3+ years of experience with major data science languages, such as Python and R
 * 3+ years of experience retrieving, merging, and analyzing structured and unstructured data sources from APIs and databases through Python, R, and/or SQL
 * Experience with database design and administration in DBMS such as SQL Server, PostgreSQL, etc.
 * Experience with data analytics, data mining, statistical analysis, or AI/ML

Preferred Qualifications:

 * Experience with data visualization software, such as Tableau and PowerBI
 * Experience conducting data architecture and ETL for the DoD or a federal agency
 * Familiarity with HUMINT
 * Knowledge of DevOps tools and technologies, including git, Jenkins, SonarQube, etc.

General Factors:

 * Depending on project requirements, may be required to work within a compressed schedule; more than 40-hour work weeks should be expected when schedules demand it.
 * Willing to travel, if needed.
 * No Relocation.
 * Must be able to sit/stand at a desk for long-periods and must be able to lift 20 pounds occasionally.
 * Must be able to multi-task and rapidly change priorities with limited notice.

Clearance: TS/SCI with current CI Poly (adjudicated within the past 5 years or ability to pass a CI Poly)

## Description

* Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
 * Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
 * Duties typically include:
*

 + Creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
 + Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
 + Be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
 + Have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.


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