Sr AI Specialist, Team Lead

Responsibilities

• 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.

Requirements

• 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
• 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
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• Locations:
• Tallahassee, FL .
• NOTICE TO THIRD-PARTY AGENCIES:

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