Agile-Defense

Data Science & Analytics Technical Lead

Tampa, FL

Open 4 months, first seen by us 126 days ago

Pay: Pay not listedSimilar roles state $154K–$225K
Work setting: On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting
Employment: Not stated

Before you apply

Work authorization: Citizens onlyTop Secret / SCI, Must Have Clearance to Start

What you’ll work on

Full posting

Lead design and deployment of machine learning models and statistical analysis
Build and improve predictive models for demand forecasting and churn
Conduct exploratory data analysis to find trends and insights
Mentor junior data scientists on best practices
Communicate findings and recommendations to stakeholders at all levels

From the employer’s posting

Lead the design, development, and deployment of complex machine learning models, statistical analysis, and data mining techniques

Build and improve predictive models for customer behavior, churn prediction, demand forecasting

Conduct advanced exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights

Mentor junior data scientists, providing technical guidance and promoting best practices in data science and machine learning

Communicate technical results, findings, and recommendations to stakeholders at all levels

What you’ll bring

All qualifications

Core experience

5+ years in data science, machine learning, or a related role
Active Top Secret / SCI clearance
Bachelor's degree in data science, computer science, math, statistics, or related field (or equivalent experience)
Track record of leading successful data science projects

Qualification wording

5+ years of experience in data science, machine learning, or a related role

Have active active TS/SCI clearance

Typically has a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field

with a track record of leading successful data science projects

Education & alternatives

Education and Background - Typically has a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (masters degree or PhD strongly preferred)., and 5+ years of experience in data science, machine learning, or a related role, with a track record of leading successful data science projects., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required. Years of Experience

About Agile-Defense

At Agile Defense we know that action defines the outcome and new challenges require new solutions.

In the employer’s words · Read in context

Apply at Agile-Defense

Posting record

Report an error

Open 4 monthsWe first saw this posting 126 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: Jul 1, 2026126 days ago
Recorded sightings: 133
Last seen by us: Nov 4, 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

$154K–$225K is typical

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

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 126

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,823 similar postings that came down. Coming down is not always a hire.

Agile-Defense is hiring

29 open jobs

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

Hiring is picking up
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resume Add LinkedIn

Your next step

Complete your application on jobs.lever.co. The employer’s form will show what is required.

Applying through Lever

No account needed: one form, and Lever reads your resume into the profile recruiters search.

Already applied? Track this application

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

About Agile Defense

At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.

Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

Requisition #: 1706

Job Title: Data Science & Analytics Technical Lead

Location: Tampa, FL

Clearance Level: Top Secret / SCI, Must Have Clearance to Start

Job Description

The contractor shall identify a Data Science & Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionalble insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs.

Job Duties:

Lead the design, development, and deployment of complex machine learning models, statistical analysis, and data mining techniques to solve advanced business problems.
Build and improve predictive models for customer behavior, churn prediction, demand forecasting, and other business-critical areas.
Conduct advanced exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from structured and unstructured data sources.
Develop and implement algorithms for classification, regression, clustering, natural language processing (NLP), and recommendation systems.
Collaborate closely with cross-functional teams, including data engineering, product, and business teams, to define data science objectives and translate them into actionable projects. Communicate technical results, findings, and recommendations to stakeholders at all levels, ensuring data-driven strategies are clearly understood and actionable.
Lead efforts in feature engineering, hyperparameter tuning, and model validation to ensure high model accuracy, performance, and robustness. Evaluate and apply cutting-edge machine learning frameworks, tools, and techniques to optimize workflows and drive innovation.
Mentor junior data scientists, providing technical guidance and promoting best practices in data science and machine learning.
Work with data engineers to ensure clean, accurate, and accessible data pipelines, ensuring efficient deployment of data products and models.

Education and Background

Typically has a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (masters degree or PhD strongly preferred)., and 5+ years of experience in data science, machine learning, or a related role, with a track record of leading successful data science projects., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.

Years of Experience

5+ years

Required Skills

The contractor shall identify a Data Science & Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionable insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs.
Have active active TS/SCI clearance

Preferred Skills

Five years of experience working in SOF analytical support
Three years experience centrally managing distributed data support teams in SOF organizations HQ echelon
Three years experience with SOF digital capabilities
Three years experience with SOF HQ elements, SOF Service Components HQs, and SOF Theater Special Operations Command

Working Conditions

General Office Environment

Our Core Values

Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.

What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.

Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

Employment type

Regular

Source details