AI & Analytics Specialist

Jobtailor; Kentucky; On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor is seeking a data-oriented professional to lead AI and analytics initiatives across our fleet operations in Kentucky. You will identify high-value use cases, deploy scalable solutions, and drive adoption through hands-on training and practical use cases.

The role emphasizes collaboration with site teams and corporate groups, delivering measurable improvements in reliability, safety, and cost. A strong background in Python/SQL and cloud platforms is essential for success.

Qualifications

• Bachelor’s degree or equivalent experience in engineering, CS, data analytics, or related field.
• 3–7 years of experience in data science, analytics engineering, or applied AI.
• Familiarity with cloud platforms (Azure, AWS, GCP) preferred.
• Proficiency in Python, SQL, and at least one ML/analytics framework.
• Experience applying AI, data analytics, or digital tools in a business/operational environment.
• Strong problem-solving ability with practical, implementable solutions.
• Ability to work across organizations and influence without direct authority.
• Clear, concise communication with technical and non-technical audiences.
• Self-starter who identifies opportunities, takes ownership, and delivers results.
• Comfortable in evolving space with emerging technologies.

Responsibilities

• Lead the development and deployment of AI and advanced analytics solutions to improve equipment reliability, maintenance strategies, and fleet performance.
• Identify high-value use cases across fleet departments to integrate solutions into existing workflows.
• Drive adoption of new technologies by coordinating training and supporting end users.
• Partner with site teams and corporate groups to ensure solutions are scalable and aligned with fleet priorities.
• Monitor solution performance and refine tools based on real-world impact and lessons learned.
• Represent the organization in industry groups, vendor engagements, and research initiatives to bring proven ideas back internally.
• Develop documentation, guidance, and standards to support long-term sustainability of deployed solutions.
• Provide regular updates to leadership on project progress, value delivered, and opportunities.
• Drive a culture of innovation by challenging traditional approaches and identifying new cost-saving ideas.

Skills

Strong problem solving

Cross-functional collaboration

Clear communication

Self-starter

Influence without authority

Education

Bachelor’s degree in engineering / CS / data analytics

Tools

Python

SQL

ML/Analytics frameworks

Azure

AWS

GCP

Job description

Responsibilities

• Lead the development and deployment of AI and advanced analytics solutions to improve equipment reliability, maintenance strategies, and fleet performance.
• Identify high-value use cases across all fleet departments to integrate solutions into existing workflows.
• Drive adoption of new technologies by coordinating training, developing practical use cases, and supporting end users.
• Partner with site teams and corporate groups to ensure solutions are scalable, repeatable, and aligned with fleet priorities.
• Monitor solution performance and continuously refine tools based on real-world impact and lessons learned.
• Represent the organization in industry groups, vendor engagements, and research initiatives to bring proven ideas and best practices back internally.
• Develop clear documentation, guidance, and standards to support long-term sustainability of deployed solutions.
• Provide regular updates to leadership on project progress, value delivered, and emerging opportunities.
• Drive a culture of innovation by challenging traditional approaches and identifying new ways to improve safety, performance, and cost.

Requirements

• Bachelor’s degree in a relevant field (engineering, computer science, data analytics, or similar) or equivalent experience.
• 3–7 years of experience in data science, analytics engineering, or applied AI.
• Familiarity with cloud platforms (Azure, AWS, GCP) preferred.
• Proficiency in Python, SQL, and at least one ML/analytics framework.
• Experience applying AI, data analytics, or digital tools in a business or operational environment.
• Strong problem‑solving ability with a focus on practical, implementable solutions.
• Ability to work across organizations and influence without direct authority.
• Clear, concise communication skills with both technical and non-technical audiences.
• Self‑starter who can identify opportunities, take ownership, and deliver results.
• Comfortable working in an evolving space with emerging technologies.