Data Scientist / ML Engineer (Data Platform) - Senior
Backend Developer
Senior
Artificial Intelligence
Aws Data Engineering
Big Data
Bigdata
Data
Data Analysis
Data Analytics
Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Science
Data Science Ml
Data Warehouse
Database
Databases
Elasticsearch
Engineer
ETL
GPU
Graph Database
Hadoop
Hive
Informatica
Information Technology (IT)
SQL
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
Requirements
- Active TS/SCI with Polygraph clearance
- U.S. citizenship required
- 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
Technologies
- Elasticsearch
- Neo4j
- Kibana
- JavaScript
- Trino
- Apache Hive
- AWS
- GPU workloads
Benefits
- 9% retirement contribution
- 100% of family medical premiums paid
- 4 weeks of PTO
Location & Employment
- McLean, VA (On-site)
- Full-Time
Salary
- $200,000 per year (USD)
Nice to Have
- AWS certifications
- Experience creating security and accreditation documentation