Senior Data Scientist

Nyla Technology Solutions•Washington, DC

6d•$229,000 - $246,000

About The Position

We are seeking a Lead Data Scientist & Data Engineer to modernize an enterprise data management ecosystem containing hundreds of thousands of current and historical records for critical defense and intelligence customer missions. The role designs, develops, and deploys scalable data engineering pipelines, advanced natural language processing (NLP) solutions, semantic search frameworks, and automated document-tagging capabilities. It combines hands-on Python development with enterprise platform expertise, such as Databricks and Palantir Foundry, to transform large volumes of structured and unstructured data into actionable operational intelligence. An active Top Secret security clearance is required. The annual base salary range is $229,000–$246,000 USD, excluding discretionary bonus compensation and benefits. Actual compensation may vary based on geographic location, work experience, education, skill level, and other factors.

Requirements

Active Top Secret security clearance.
Hands-on experience designing, maintaining, and optimizing scalable ETL/ELT pipelines using Python, SQL, Apache Spark, and Databricks.
Demonstrated ability to build, train, and deploy production NLP pipelines for summarization, classification, clustering, automated tagging, and semantic search.
Expertise in data-quality assessments, profiling, cleansing, validation, and anomaly detection.
Practical experience developing and deploying pipelines and analytical workflows in enterprise platforms such as Databricks or Palantir Foundry, or in AWS/Azure cloud environments.
Experience collaborating in Agile software development environments that support automated testing, CI/CD, and DevSecOps practices.
Ability to create data visualizations and dashboards, communicate with technical and leadership stakeholders, and provide technical guidance to junior engineers.
Bachelor’s degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, plus at least 6 years of specialized data analytics or financial intelligence experience; alternatively, a high school diploma/GED plus at least 16 years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.

Nice To Haves

Deep experience with Palantir Foundry, including Pipeline Builder, Code Repositories, custom transformations, and Ontology development.
Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, vector databases, and embedding-based search techniques.
Hands-on experience with machine-learning frameworks such as PyTorch, TensorFlow, or scikit-learn, and big data/NoSQL platforms such as PySpark, Scala, R, or MongoDB.
Experience crafting executive reporting solutions using Tableau, Power BI, Qlik, or Python visualization libraries.
Direct experience supporting the Department of Defense, the Intelligence Community, or secure federal government cloud environments.

Responsibilities

Design, maintain, and optimize scalable ETL/ELT pipelines for structured and unstructured enterprise-scale data.
Build, train, and deploy production NLP pipelines for document summarization, text classification, clustering, automated tagging, and semantic search.
Conduct data-quality assessments, profiling, cleansing, validation, and anomaly detection across large repositories.
Develop and deploy data pipelines and analytical workflows within enterprise data and AI platforms or cloud environments.
Collaborate in Agile software development environments supporting automated testing, CI/CD, and DevSecOps practices.
Develop dynamic data visualizations and dashboards, and communicate findings to technical and leadership stakeholders.
Provide technical guidance to junior engineers.