Data Scientist – AI/ML

Integral Federal•Annapolis Junction, MD

1d•Hybrid

About The Position

Integral Federal is looking to hire a Data Scientist to support the Transportation Security Administration (TSA) Performance Engineering Analytics (PEA) program. The PEA program will support TSA as it continues to look for ways to enhance its layered approach to security through new state-of-the-art technologies, expanded use of existing and proven technologies, improved passenger identification techniques, and other developments that will continue to strengthen anti-terrorism capabilities.

Requirements

10+ years of relevant experience
3+ years working in a data scientist role and with AI/ML
Python and/or R proficiency
Advanced SQL skills and experience working with large datasets
Experience with environments and tools listed below
On-premises and Cloud database, data science, and data analytics environments
IBM Integrated Analytics System, IBM Sailfish (formerly Netezza; hardware-accelerated database appliance), AWS Redshift, or similar products
Data science toolkits
Notebook environment
Apache Zeppelin or similar web-based notebook collaboration environment (e.g., JupyterLabs)
Data visualizations and interactive dashboards Microsoft Power BI Server, Tableau, or similar

Nice To Haves

Experience working in a TSA mission or DHS environment
Experience working in data science and data analytics environments
Experience working in an AWS Cloud environment
Experience working in Agile environments
Master of Science degree

Responsibilities

Provide senior-level Subject Matter Expertise (SME) for the data sciences team, consisting of government personnel and contractor team
Make significant contributions and provide support to initiatives, workstreams, and collaboration in these areas: Research, Exploration, and Innovation.
Explore emerging data science methods and techniques.
Leading and supporting proof-of-concept (POC) projects to evaluate and validate new approaches and capabilities.
Uncover anomalies and trends Predictive Analytics, Artificial Intelligence (AI,) and Machine Learning (ML).
Build predictive models and advance AI capabilities to enhance mission-critical decisions and improve system effectiveness
Model Development, Deployment, and Optimization.
Develop and maintain models using AI/ML and statistical techniques.
Deploy models into production environment(s) with continuous optimization through adaptive learning and model training
Natural Language Processing (NLP).
Apply NLP techniques for domain-specific challenges, including global name matching and text analysis, to support real-time operations
Collaborate with analytics and engineering teams to translate insights into actionable outcomes and ensure seamless model integration
Collaborate with computational linguistics on cultural and linguistic considerations, refinements, and solutions
Create and maintain relationships between data sources and data sets to facilitate and maximize analyses
Create and present summaries of findings through effective communications and visualizations