help turn complex data sets into useful information to solve global challenges
work closely with clients to understand their questions and needs
guide teammates and lead development of algorithms and systems
use the right combination of tools and frameworks to turn disparate data points into objective answers

Requirements

5+ years of experience in applied data science or ML roles
5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
Experience with production-level systems, data lake environments, and streaming data, including Kafka
Experience implementing end-to-end ML workflows from data prep to deployment and evaluation
Ability to quickly learn infrastructure or systems concepts, including how pipelines interface with data lakes
Ability to design, implement, and iterate on ML models for document classification, extraction, summarization, and search
Ability to take ownership of data science workflows that interact with a production system streaming millions of documents per week
TS / SCI clearance
Bachelor's degree

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learningdata explorationdata cleaningdata analysisdata visualizationdata miningML workflowsML modelsdocument classification

Soft Skills

client collaborationteam leadershipproblem-solvingownershipadaptability

Certifications

TS / SCI clearance