Data Scientist / ML Engineer (Data Platform) - Senior

Fallstechnology

McLean (VA)

On-site

USD 180,000 - 220,000

Full time

2 days ago

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Benefits offered by this job

9% retirement contribution

100% family medical premiums paid

4 weeks PTO

Job summary

Falls Technology is seeking a senior Data Scientist/ML Engineer to deliver production data capabilities and AI/ML analytics for a federal national-security mission. You will build data pipelines and web apps on a large data-lake platform, and drive AI/ML analytics with Elasticsearch and related tools.

The role requires TS/SCI clearance, U.S. citizenship, and hands-on work with Elasticsearch, Neo4j, Kibana, Trino, and Hive. On-site in McLean, VA with full-time employment.

Qualifications

Active TS/SCI with Polygraph clearance required.
U.S. citizenship is mandatory.
Hands-on experience with Elasticsearch, Neo4j and Kibana.
Experience with JavaScript, Trino and Apache Hive.
Ability to perform AWS automation and deployment.
Experience supporting GPU workloads.
Experience mentoring junior staff.

Responsibilities

Design and build production data pipelines and web apps on a large data-lake platform.
Develop AI/ML analytics using Elasticsearch and related tooling.
Implement graph and search tech including Neo4j and Kibana.
Use Trino and Apache Hive to support analytics workloads.
Automate AWS deployment and manage GPU workloads.
Mentor junior data scientists and engineers.
Produce security and accreditation documentation as part of mission requirements.

Skills

Mentoring junior staff

Leadership

Clearance handling

Tools

Elasticsearch

Neo4j

Kibana

JavaScript

Trino

Apache Hive

AWS

Job description

Falls Technology is hiring a senior-level Data Scientist / ML Engineer to deliver production data capabilities and AI/ML analytics for a federal national-security mission.

Responsibilities

Design and build production data pipelines and web applications on a large data-lake platform
Develop AI/ML analytics using Elasticsearch and related data tooling
Implement and work with graph and search technologies including Neo4j and Kibana
Use Trino and Apache Hive to support analytics workloads
Automate AWS deployment and ongoing resource management, including GPU workloads
Mentor junior data scientists and engineers
Produce security and accreditation documentation as part of mission requirements