Senior Data Scientist

Nyla Technology Solutions

Washington (District of Columbia)

On-site

USD 229,000 - 246,000

Full time

14 days+

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Job summary

Nyla Technology Solutions is seeking a Lead Data Scientist and Data Engineer to modernize an enterprise data ecosystem supporting defense and intelligence missions. You will design, develop, and deploy scalable data pipelines, NLP solutions, semantic search, and automated document tagging.

Hands-on Python with Databricks and Palantir Foundry expertise will transform massive structured and unstructured data into actionable intelligence.

Qualifications

  • Design, develop, and deploy scalable data pipelines for large data volumes.
  • Develop and apply NLP techniques for analytics and information extraction.
  • Automate tagging and integration of heterogeneous data sources.

Responsibilities

  • Lead modernization of an enterprise data ecosystem for defense and intelligence missions.
  • Build scalable data pipelines and NLP models to generate actionable intelligence.
  • Collaborate with cross-functional teams to deploy platforms and workflows at scale.

Skills

Python development
NLP
data engineering
enterprise data management

Tools

Databricks
Palantir Foundry

Job description

ACTIVE SECURITY CLEARANCE AT THE TOP SECRET LEVEL IS REQUIRED

We are seeking a Lead Data Scientist & Data Engineer to drive the modernization of an enterprise data management ecosystem containing hundreds of thousands of current and historical records for critical defense and intelligence customer missions. In this role, you will design, develop, and deploy scalable data engineering pipelines, advanced Natural Language Processing (NLP) solutions, semantic search frameworks, and automated document tagging capabilities. You will combine hands-on Python development with enterprise platform expertise (such as Databricks and Palantir Foundry) to transform massive volumes of structured and unstructured data into actionable operational intelligence.

The annual base salary range for this role is $229,000-$246,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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