About the role

What We're Looking For

At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners.

What You'll Do:

Leads and manages data science teams and enterprise analytics projects.
Defines data science strategy, technical roadmap, and project priorities.
Oversees team performance, development planning, and succession management.
Ensures delivery of scalable, secure, and ethical data science solutions.
Collaborates with business and technical leaders to align analytics with strategic goals.
Fosters a culture of innovation, collaboration, and continuous learning.
Supports recruitment, onboarding, and team growth.
Performs other duties as assigned.

What You'll Need:

Bachelor’s degree in data science, statistics, computer science, computer engineering, or information systems and 7 years of relevant experience, or
Master’s degree in data science, statistics, computer science, computer engineering, or information systems and 6 years of relevant experience, or
In lieu of education, 11 years of relevant experience

What You'll Bring:

Demonstrated success in leading data science teams and enterprise programs.
Strong project management and stakeholder engagement skills.
Experience with budgeting, resource planning, and team operations.
Strong leadership and communication skills.
Experience with programming languages such as Python, R, or SQL.
Experience with big data technologies such as Hadoop or Spark.
Experience with machine learning algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Experience with distributed computing tools such as MapReduce or Spark.

What We Prefer:

Master's degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computer Engineering, Information Systems, Statistics, or a related technical field.
Certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud AI services, MLOps, or other related technologies.
Certifications in project management, agile delivery, product management, or management practices.
Experience developing, evaluating, or integrating generative AI, large language models, retrieval-augmented generation, AI agents, natural language processing, computer vision, or predictive analytics solutions.
Experience with AI model selection, prompt engineering, model evaluation, testing, documentation, risk assessment, and responsible AI practices.
Experience translating business or client needs into AI use cases, technical requirements, evaluation criteria, and implementation plans.
Experience with programming languages and technical tools such as Python, R, SQL, APIs, notebooks, version control, or cloud-based AI services.
Experience supporting AI use cases for transportation, infrastructure, engineering, consulting, or public-sector clients.

Additional Information

Click here for benefits information: HNTB Total Rewards

Click here to learn more about Equal Opportunity Employer/Disability/Veteran

#AJ

Locations:

Tallahassee, FL

NOTICE TO THIRD-PARTY AGENCIES:

HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.

Skills & Tags

Aplyr's read

HNTB is an employee-owned infrastructure firm where engineers and architects collaborate on complex projects, offering diverse roles from aviation to multimodal infrastructure.
Synthesized from recent postings & public sources

What's promising

•Employee ownership fosters a strong sense of investment and commitment among staff.
•Diverse project portfolio offers opportunities in aviation, rail, and multimodal infrastructure.
•Strong focus on infrastructure positions HNTB well in a growing industry.

What to watch

•Highly specialized roles may limit opportunities for generalists.
•Complex projects can result in high-pressure work environments.
•Limited public information about work-life balance and company culture.

Why HNTB

•HNTB's employee-owned structure is rare in the engineering sector.
•Focus on multimodal infrastructure sets it apart from traditional engineering firms.
•Offers career paths in both technical and management roles across various infrastructure sectors.

Aplyr’s read is generated by AI from public sources. Was it useful?