Sr AI Specialist, Team Lead
On-siteTallahassee, Florida, United States
Job Summary
Lead and manage data science teams and enterprise analytics projects, defining strategy, technical roadmaps, and project priorities. Oversee team performance, development planning, and succession management while ensuring delivery of scalable, secure, and ethical data science solutions. Collaborate with business and technical leaders to align analytics with strategic goals and foster a culture of innovation, collaboration, and continuous learning. Support recruitment, onboarding, and team growth. Requires a Bachelor's degree in data science or related field with 7 years of experience, or equivalent Master's degree with 6 years. Master's degree in AI, Machine Learning, or Data Science preferred. Location: Tallahassee, FL.
Required Qualifications
- Bachelor's degree in data science, statistics, computer science, computer engineering, or information systems
- 7 years of relevant experience
- Master's degree in data science, statistics, computer science, computer engineering, or information systems
- 6 years of relevant experience
- 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
- Work Authorization
Desired Qualifications
- 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
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