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Data Science Manager (On-Site)

ATDM Maritime Training Center - Danville, VA 24540

Live, first seen by us 16 days ago
Pay
$123,600–132,450/year — pay source
The Pay, Perks, & Benefits $123,600 - $132,450 annual salary Retirement benefits through the Virginia Retirement System (VRS) with employer match
Salary $123,600.00 - $132,450.00 Salary/year
Read the full posting
Work setting
Working pattern needs review — work setting source
Description This position requires eligibility to access controlled unclassified and other regulated technical information in accordance with applicable federal requirements. This role is not eligible for remote work and will be based onsite in Danville, Virginia. The Pay, Perks, & Benefits
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full Time
From the employer’s posting

What you’ll work on

Full posting
  • Lead, coach, and develop a team of data scientists and ML engineers

  • Oversee technical delivery and quality across analytics and AI projects

  • Set coding, testing, documentation, and data governance best practices

  • Translate business challenges into scalable analytical solutions for clients

  • Support proposals, grant applications, and business development

From the employer’s posting
Lead, coach, and develop a team of data scientists, machine learning engineers, and technical specialists.
Oversee technical delivery and quality across multiple analytics, machine learning, and AI projects.
Establish and maintain best practices for coding standards, testing, documentation, and data governance.
translate business challenges into scalable analytical solutions
Support proposal development, grant applications, and business development efforts.

What you’ll bring

All qualifications

Core experience

  • Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Operations Research, or a related quantitative field.
  • Strong knowledge of machine learning, statistics, predictive modeling, optimization, and AI technologies.
  • Experience with cloud-based AI and analytics platforms.
  • Excellent communication, coaching, stakeholder management, and problem-solving skills.

Preferred experience

  • Experience leading multidisciplinary teams that include data scientists, machine learning engineers, software engineers, and data engineers.
  • Experience supporting consulting engagements, proposal development, or grant-funded initiatives.
  • Experience with MLOps, responsible AI, model governance, and production AI systems.
  • Experience in manufacturing, Industry 4.0, smart manufacturing, process optimization, supply chain analytics, or related environments.
Qualification wording
Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Operations Research, or a related quantitative field.
Strong knowledge of machine learning, statistics, predictive modeling, optimization, and AI technologies.
Experience with cloud-based AI and analytics platforms.
Excellent communication, coaching, stakeholder management, and problem-solving skills.
Experience leading multidisciplinary teams that include data scientists, machine learning engineers, software engineers, and data engineers.
Experience supporting consulting engagements, proposal development, or grant-funded initiatives.
Experience with MLOps, responsible AI, model governance, and production AI systems.
Experience in manufacturing, Industry 4.0, smart manufacturing, process optimization, supply chain analytics, or related environments.

Posting record

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Status in our records
Live
First seen by us
Oct 21, 202616 days ago
Recorded sightings
19
Last seen by us
Nov 6, 2026
Employer says posted
Oct 14, 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

Time since we first saw it

Day 16

Similar jobs usually come down between day 7 and day 54.

From 8,218 similar postings that came down. Coming down is not always a hire.

Institute for Advanced Learning and Research is hiring

2 open jobs

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

Hiring record

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  • Python
Where the posting names them
- Demonstrated success delivering complex data science, machine learning, and AI projects from concept through deployment. - Advanced proficiency with Python and modern data science tools and frameworks. - Strong knowledge of machine learning, statistics, predictive modeling, optimization, and AI technologies.

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,207, and the latest week had 838.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 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 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 ↗

Description

This position requires eligibility to access controlled unclassified and other regulated technical information in accordance with applicable federal requirements. This role is not eligible for remote work and will be based onsite in Danville, Virginia.

The Pay, Perks, & Benefits 

  • $123,600 - $132,450 annual salary
  • Retirement benefits through the Virginia Retirement System (VRS) with employer match
  • Paid time off including vacation, sick leave, and paid family leave
  • Paid holidays including a two-week paid winter break
  • Health insurance options including PPO and HSA plans with dental coverage
  • Employer-paid life insurance

The Institute for Advanced Learning and Research (IALR) is seeking an experienced and innovative Data Science Manager to lead a team of data scientists, machine learning engineers, and technical professionals supporting advanced analytics, artificial intelligence (AI), and data-driven solutions. This position combines people leadership, technical expertise, and project execution to deliver impactful outcomes for clients, stakeholders, and organizational initiatives.

 

How You Will Help the Team 
You will play a critical role in building organizational capability through strong leadership, technical excellence, and successful project execution. By mentoring team members, championing innovation, and driving high-quality outcomes, you will help advance IALR's mission while delivering meaningful value to clients and partners.

 

What You Will Do
As the Data Science Manager, you will lead a high-performing technical team while serving as the primary technical authority for data science and AI initiatives. You will guide project delivery, establish technical standards, and ensure the successful execution of complex analytics and machine learning projects. Key responsibilities include:

  • Lead, coach, and develop a team of data scientists, machine learning engineers, and technical specialists.
  • Oversee technical delivery and quality across multiple analytics, machine learning, and AI projects.
  • Provide technical leadership for solution design, model development, deployment strategies, and AI governance.
  • Establish and maintain best practices for coding standards, testing, documentation, and data governance.
  • Collaborate with project managers, clients, and organizational leaders to translate business challenges into scalable analytical solutions.
  • Support proposal development, grant applications, and business development efforts.
  • Evaluate emerging technologies and identify opportunities to expand organizational capabilities and services.
  • Contribute technical expertise to strategic planning, innovation initiatives, and investment decisions

 

Qualifications

Your Knowledge and Expertise

Required Qualifications

  • Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Operations Research, or a related quantitative field.
  • Eight or more years of progressively responsible experience in data science, analytics, machine learning, artificial intelligence, or related technical disciplines.
  • At least three years of experience leading and managing technical teams.
  • Demonstrated success delivering complex data science, machine learning, and AI projects from concept through deployment.
  • Advanced proficiency with Python and modern data science tools and frameworks.
  • Strong knowledge of machine learning, statistics, predictive modeling, optimization, and AI technologies.
  • Experience with cloud-based AI and analytics platforms.
  • Excellent communication, coaching, stakeholder management, and problem-solving skills.

Preferred Qualifications

  • Experience leading multidisciplinary teams that include data scientists, machine learning engineers, software engineers, and data engineers.
  • Experience supporting consulting engagements, proposal development, or grant-funded initiatives.
  • Experience with MLOps, responsible AI, model governance, and production AI systems.
  • Experience in manufacturing, Industry 4.0, smart manufacturing, process optimization, supply chain analytics, or related environments.
  • Professional certifications in cloud computing, AI, machine learning, project management, or data science. 

 

What Makes Working Here Different
At IALR, you'll have the opportunity to work on meaningful projects that advance innovation, technology adoption, and economic development. You'll collaborate with talented technical professionals, industry leaders, and partners across a variety of sectors while helping shape the future of applied AI, advanced analytics, and digital transformation initiatives. Our culture encourages collaboration, continuous learning, innovation, and professional growth.

 

Equal Opportunity Employer
We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status.

Salary

$123,600.00 - $132,450.00 Salary/year

Source details

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Pay
The Pay, Perks, & Benefits $123,600 - $132,450 annual salary Retirement benefits through the Virginia Retirement System (VRS) with employer match
More source context
Salary $123,600.00 - $132,450.00 Salary/year
Location & working pattern

ATDM Maritime Training Center - Danville, VA 24540

Description This position requires eligibility to access controlled unclassified and other regulated technical information in accordance with applicable federal requirements. This role is not eligible for remote work and will be based onsite in Danville, Virginia. The Pay, Perks, & Benefits
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