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.

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.