Principal Data Scientist

At ServiceLink, we believe in pushing the limits of what’s possible through innovation. We’re looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you’ll harness cutting-edge technologies—from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI—to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation.

Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. 

A DAY IN THE LIFE

In this role, you will…

• Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks.
• Lead projects end-to-end—from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices.
• Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable.
• Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property.
• Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI.

WHO YOU ARE

You possess …

• A visionary leader with an advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science.
• A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems.
• Proficient in Python—and comfortable with other modern programming environments—armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops).
• An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab.
• A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution.

• Strategize with leadership and stakeholders to align AI innovations with business objectives—identifying risks, seizing opportunities, and driving measurable outcomes.
• Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs.
• Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments.
• Act as both a thought leader and an active contributor—publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP.
• Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics
• Mentor and empower your peers, fostering a culture of innovation, resilience, and learning.
• All other duties as assigned.

• Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience.
• Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions—including deep learning, LLMs, and Agentic AI—in production environments.
• Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices.
• Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations.
• Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans.
• A collaborative mindset with a history of mentoring teams and building high-impact technology solutions.