Principal AI Data Scientist, Service at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal AI Data Scientist, Service in United States.

This senior technical leadership role focuses on designing and deploying advanced AI and data science solutions that optimize global service operations at scale. The position plays a critical role in transforming complex operational challenges—such as workforce optimization, predictive maintenance, and service logistics—into impactful, data-driven solutions. Working in a cloud-first environment, the role leverages modern AI/ML frameworks, real-time data platforms, and scalable architectures to deliver production-grade systems. The Principal AI Data Scientist collaborates closely with cross-functional teams to align technical innovation with business objectives and measurable outcomes. This is an opportunity to lead end-to-end AI initiatives, from concept to deployment, in a highly dynamic and innovation-driven environment. The role is ideal for experienced practitioners passionate about operational excellence, advanced analytics, and real-world AI impact.

Lead the design, development, and deployment of end-to-end AI and data science solutions supporting service operations and supply chain optimization.

• Build, productionize, and maintain machine learning, optimization models, and intelligent workflows in a cloud-native environment.
• Own the full AI lifecycle, including problem framing, data exploration, feature engineering, modeling, deployment, and continuous improvement.
• Collaborate with service operations, field teams, and technical stakeholders to translate business challenges into scalable AI solutions.
• Develop robust data models and pipelines to support analytics, optimization, and real-time decision-making.
• Ensure reliability, scalability, and security of deployed models through monitoring, alerting, and retraining strategies.
• Partner with engineering and platform teams to integrate AI solutions into production systems using modern CI/CD practices.
• Drive innovation by exploring new AI techniques, including advanced optimization and intelligent automation frameworks.
• Support workshops, stakeholder engagement, and solution alignment across global teams.

Requirements:
Advanced degree (Master’s or PhD) in Data Science, Computer Science, Operations Research, Applied Mathematics, or a related quantitative field.

• 7+ years of experience in AI, data science, or advanced analytics, ideally within service operations, supply chain, or related domains.
• Strong programming skills in Python and experience with ML frameworks such as scikit-learn, PyTorch, or similar.
• Expertise in optimization techniques and tools (e.g., OR-Tools, Gurobi, or equivalent).
• Proven experience building and deploying production-grade AI/ML solutions in cloud environments (preferably Azure).
• Hands-on experience with modern data platforms such as Snowflake, including data modeling and SQL optimization.
• Strong understanding of CI/CD pipelines and deployment workflows for AI systems.
• Ability to translate complex technical concepts into business value and operational outcomes.
• Experience with service operations systems (ERP, field service platforms) and large language models or agent-based workflows is a plus.
• Excellent communication and collaboration skills in cross-functional, global environments.

Benefits:

• Competitive salary range ($150,000 – $215,000 USD annually) plus performance-based incentives
• Comprehensive medical, dental, and vision insurance
• 401(k) retirement plan with company contributions
• Generous paid time off and flexible work arrangements (remote-first role)
• Opportunities for career growth and leadership development in AI and data science
• Exposure to cutting-edge cloud technologies, AI platforms, and global-scale operations
• Collaborative and innovation-driven work culture
• Travel opportunities (approximately 25–30%) for stakeholder engagement and workshops