Senior Data Scientist — End-to-End ML for Massive Documents

Jobtailor; McLean (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor in McLean, VA is seeking an experienced data scientist to own and evolve end-to-end ML workflows. You will work with clients, select tools, and build models for document classification, extraction, summarization, and search.

You will deploy pipelines to production, interact with streaming data infrastructures like Kafka, and collaborate with MLOps. A TS/SCI clearance and a bachelor's degree are required; experience with Databricks, Docker, and Kubernetes is a plus.

Qualifications

• 5+ years in applied data science or ML roles with Python and NLP.
• Experience with production systems, data lakes and streaming data (Kafka).
• End-to-end ML workflows from data prep to deployment and evaluation.
• Ability to learn infrastructure concepts and data lake interfaces.
• TS/SCI clearance and a Bachelor's degree are required.

Responsibilities

• Develop and manage end-to-end machine learning workflows from data preparation to deployment and evaluation.
• Design, implement, and iterate on models for document classification, extraction, summarization, and search.
• Own data science workflows interfacing with production systems streaming millions of documents weekly.
• Guide teammates and lead development of algorithms and systems.
• Select tools and frameworks to transform disparate data into objective answers.

Skills

Machine Learning Workflows

Python Programming

Natural Language Processing (NLP)

Data Visualization

Production-Level Systems

Education

Bachelor's degree

Tools

Kafka

Docker

Kubernetes

Databricks

Cloudera

Job description

Jobtailor in McLean, VA is seeking an experienced data scientist to own and evolve end-to-end ML workflows. You will work with clients, select tools, and build models for document classification, extraction, summarization, and search.

You will deploy pipelines to production, interact with streaming data infrastructures like Kafka, and collaborate with MLOps. A TS/SCI clearance and a bachelor's degree are required; experience with Databricks, Docker, and Kubernetes is a plus.