Data Scientist & Architect for AI/ML Data Solutions

US Defense Counterintelligence and Security Agency; Hanover (MD); On-site; USD 85,000 - 125,000; Full time

Job summary

US Defense Counterintelligence and Security Agency (DCSA) NBIS seeks a non-supervisory Data Scientist (Data Architect/Data Engineer/AI-ML Specialist). The role provides guidance across data science functions and supports a range of data-anylytics applications.

It requires experience with advanced analytic methods across structured and unstructured data, and independent execution of data projects. The incumbent will apply statistical and ML techniques, design predictive models, and contribute to

Qualifications

• Experience applying statistical, ML, NLP, or advanced analytical methods to structured/unstructured data.
• Ability to design, develop, and validate predictive models and data-driven decision-support products.
• Experience leading data analysis projects from problem definition to modeling and delivery.

Responsibilities

• Assist in applying statistical, machine learning, NLP, or other advanced analytic methods to solve problems involving structured and unstructured data.
• Support the design, development, and validation of predictive models and data-driven decision-support products.
• Independently execute components of data analysis projects from problem definition through data acquisition, preparation, and modeling.

Skills

Data Mining

Data Management

Programming Knowledge

Quantitative Analysis

Tools

Cloudera Data Platform

Cloudera Data Flow

Tableau

DataWalk

Java/Javascript

Scala

Python

C/C#/C++

R

Hive/SQL/MySQL/NoSQL

Apache Hadoop/Spark

ArcGIS

JIRA/Agile

Job description

US Defense Counterintelligence and Security Agency (DCSA) NBIS seeks a non-supervisory Data Scientist (Data Architect/Data Engineer/AI-ML Specialist). The role provides guidance across data science functions and supports a range of data-anylytics applications.

It requires experience with advanced analytic methods across structured and unstructured data, and independent execution of data projects. The incumbent will apply statistical and ML techniques, design predictive models, and contribute to