AI/ML Subject Matter Expert (SME) / Analytics Team Lead

Arlington, VA

Open 5 months, first seen by us 161 days ago

Pay: Pay not listedSimilar roles state $166K–$240K
Work setting: Not stated
Employment: Not stated

Before you apply

Work authorization: Citizens onlyActive Secret clearance required

What you’ll work on

Full posting

Design, train, test and support custom machine learning and AI models
Apply natural language processing to analyze unstructured data
Build data visualizations that explain findings to technical and non-technical stakeholders
Integrate AI/ML capabilities into enterprise applications and data environments
Lead and mentor the analytic team on AI/ML and analytics solutions

From the employer’s posting

Design, develop, train, test, and support custom machine learning and AI models

Apply natural language processing (NLP) techniques to analyze and derive insight from unstructured data.

Develop data visualizations and analytical outputs that clearly communicate findings, trends, and recommendations to technical and non-technical stakeholders.

Collaborate with developers, database teams, and other technical staff to integrate AI/ML capabilities into enterprise applications and data environments.

Lead and mentor the analytic team in the development and delivery of AI/ML and advanced analytics solutions.

What you’ll bring

All qualifications

Core experience

5+ years of in-depth knowledge of at least one analytical or statistical language, such as Python, R, or SQL.
3+ years of experience with SQL database development and coding.
2+ years of experience with data visualization tools.
2+ years of experience manipulating unstructured data.

Preferred experience

Leadership Responsibilities

Qualification wording

5+ years of in-depth knowledge of at least one analytical or statistical language, such as Python, R, or SQL.

3+ years of experience with SQL database development and coding.

2+ years of experience with data visualization tools.

2+ years of experience manipulating unstructured data.

Leadership Responsibilities

Apply at Nationwide IT Services

Posting record

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Open 5 monthsWe first saw this posting 161 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 2, 2026161 days ago
Recorded sightings: 128
Last seen by us: Nov 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,383 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 161

Up longer than most. Similar jobs usually come down between day 8 and day 75.

Well past Nationwide IT Services’s usual: its jobs come down by about day 19.

From 5,196 similar postings that came down, and 12 of Nationwide IT Services’s. Coming down is not always a hire.

Nationwide IT Services is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring has slowed
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

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Where the posting names them

- Apply natural language processing (NLP) techniques to analyze and derive insight from unstructured data. - Use analytical and statistical programming languages such as Python, R, and SQL to perform data analysis, model development, and data manipulation. - Manipulate, transform, and analyze large and complex structured and unstructured datasets to support analytic objectives.

Minimum Qualifications - 5+ years of in-depth knowledge of at least one analytical or statistical language, such as Python, R, or SQL. - At least 2 years of experience in custom machine learning and AI model training, including supervised and unsupervised learning, and Natural Language Processing (NLP) expertise focused on unstructured data.

- At least 2 years of experience in custom machine learning and AI model training, including supervised and unsupervised learning, and Natural Language Processing (NLP) expertise focused on unstructured data. - 3+ years of experience with SQL database development and coding. - 2+ years of experience with data visualization tools.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

AI/ML Subject Matter Expert (SME) / Analytics Team Lead
Active Secret clearance required.
100% on-site

Nationwide IT Services, NIS, is seeking an AI/ML Subject Matter Expert (SME) / Analytics Team Lead to provide technical leadership for the design, development, and implementation of advanced analytics, machine learning, and natural language processing solutions. This position leads the analytic team and serves as the primary expert in applying statistical, analytical, and AI/ML techniques to structured and unstructured data. The AI/ML SME works closely with stakeholders, developers, and data teams to deliver scalable, mission-focused analytical solutions that support operational and business objectives.

Key Responsibilities

Serve as the Analytics Team Lead and provide technical leadership for analytics, machine learning, and AI initiatives.
Design, develop, train, test, and support custom machine learning and AI models, including supervised and unsupervised approaches.
Apply natural language processing (NLP) techniques to analyze and derive insight from unstructured data.
Use analytical and statistical programming languages such as Python, R, and SQL to perform data analysis, model development, and data manipulation.
Manipulate, transform, and analyze large and complex structured and unstructured datasets to support analytic objectives.
Develop data visualizations and analytical outputs that clearly communicate findings, trends, and recommendations to technical and non-technical stakeholders.
Collaborate with developers, database teams, and other technical staff to integrate AI/ML capabilities into enterprise applications and data environments.
Support data exploration, feature engineering, model evaluation, and performance improvement efforts.
Recommend and apply best practices for analytics, AI/ML development, and data handling.
Ensure analytic solutions are scalable, maintainable, and aligned with mission and enterprise needs.

Minimum Qualifications

5+ years of in-depth knowledge of at least one analytical or statistical language, such as Python, R, or SQL.
At least 2 years of experience in custom machine learning and AI model training, including supervised and unsupervised learning, and Natural Language Processing (NLP) expertise focused on unstructured data.
3+ years of experience with SQL database development and coding.
2+ years of experience with data visualization tools.
2+ years of experience manipulating unstructured data.

Preferred Qualifications

Educational background in Data Science or a related field is a plus.

Leadership Responsibilities

Lead and mentor the analytic team in the development and delivery of AI/ML and advanced analytics solutions.
Provide direction on model development, analytic methodologies, data usage, and technical best practices.
Coordinate analytic efforts with application, database, and infrastructure teams to support successful solution delivery.

Clearance Requirement

Active Secret clearance required.

Work Location
Work will be performed at DEA offices in Merrifield, VA; DEA Headquarters in Arlington, VA; and other offices deemed appropriate by the Government.

Why Join Nationwide IT Services?
Nationwide IT Services is a trusted government contractor supporting Department of Defense customers. We offer the opportunity to work on high-impact cybersecurity missions alongside experienced professionals in a collaborative and growth-focused environment.

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