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# Senior Data Scientist

- **Company:** Nyla Technology Solutions
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $229,000.0 - $246,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Big Data, Cluster Analysis, Profiling, Encodings, Continuous Integration, Data Discovery, Information Engineering, Data Integrity, Extract Transform Load (ETL), Intelligence Analysis, Python (Programming Language), Machine Learning, MongoDB, NoSQL, Power BI, Tensorflow, Search Technologies, SQL Databases, Systems Integration, Tableau (Software), Enterprise Data Management, Software Repository, Pytorch, Retrieval-Augmented Generation, Large Language Models, Palantir Foundry, Apache Spark, Generative AI, AI Platforms, Pyspark, Scikit Learn, Information Technology, Data Analytics, Qlikview, Dynamic Data, Document Classification, Data Pipelines, Devsecops, Databricks
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1ea9bfe3dcf82feb

## About the Role

Data Engineering Pipelines: Hands-on experience designing, maintaining, and optimizing scalable ETL/ELT pipelines for structured and unstructured enterprise-scale data using Python, SQL, Apache Spark, and Databricks.

NLP & Machine Learning: Demonstrated ability to build, train, and deploy NLP pipelines for document summarization, text classification, clustering, automated tagging, and semantic search into production environments.

Data Quality & Profiling: Expertise conducting data-quality assessments, profiling, cleansing, validation, and anomaly detection to ensure high data integrity across large repositories.

Enterprise Platform Integration: Practical experience developing and deploying data pipelines and analytical workflows within enterprise data/AI platforms like Databricks, Palantir Foundry, or AWS/Azure cloud environments.

Agile & DevSecOps: Experience collaborating in Agile software development environments supporting automated testing, CI/CD, and DevSecOps practices.

Technical Communication & Mentorship: Ability to develop dynamic data visualizations/dashboards, communicate findings to diverse technical and leadership stakeholders, and provide technical guidance to junior engineers.

Education: Bachelor's Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 6+ years of specialized data analytics or financial intelligence experience OR High School Diploma / GED, PLUS 16+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.

## Description

Palantir Foundry Ecosystem: Deep experience with Palantir Foundry, including Pipeline Builder, Code Repositories, custom transformations, and Ontology development.
Generative AI & LLMs: Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG architectures), vector databases, and embedding-based search techniques.
Advanced ML & Analytics: Hands-on experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and big data/NoSQL platforms (PySpark, Scala, R, MongoDB).
Business Intelligence & Visualization: Experience crafting executive reporting solutions using Tableau, Power BI, Qlik, or Python visualization libraries.
Federal & Mission Focus: Direct experience supporting Department of Defense (DoD), Intelligence Community (IC), or secure federal government cloud environments.
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About Nyla Technology Solutions