Principal Engineer - Data Science

Georgia Tech’s School of Industrial and Systems Engineering

Principal Engineer – Data Science/Machine Learning

What You’ll Do

• Own the end-to-end development

   of data science and machine learning solutions from problem definition and data exploration to production deployment and performance monitoring following clean coding practices and 

  SOLID principles

  .

• Architect and implement scalable data and ML systems

  , ensuring reliability, reproducibility, and low-latency model serving across Pull Logic’s platform.

• Design and automate ML pipelines

   (data ingestion, feature engineering, training, validation, deployment) using modern MLOps tools and frameworks while maintaining adherence to 

  object-oriented design and SOLID software architecture

  .

• Prototype rapidly

  , test hypotheses, and iterate based on performance metrics and user feedback.

• Lead technical design reviews

   and set best practices for data science engineering, experimentation, and ML deployment.

• Contribute to the core data architecture

  , including data modeling, feature stores, and real-time data flows powering decision intelligence.

• Mentor and guide other engineers and data scientists

  , fostering a culture of experimentation, continuous learning, and delivery excellence.
• Partner with leadership to 

  shape the long-term AI and data strategy

  , ensuring our ML systems scale with product and customer growth.
  

What We’re Looking For

• 7

  + 

  years

   of experience building and shipping data-driven products or Data Science-powered applications in fast-paced, high-growth environments

• 3+ years

   of hands-on MLOps experience, owning the full lifecycle — from experimentation and feature engineering to production deployment and continuous model improvement
• Strong command of 

  Python

   and core data science libraries (Pandas, NumPy etc.), with the ability to write 

  clean, modular, and testable code that adheres to SOLID principles

• Deep understanding of software design patterns, APIs, and scalable data architectures for integrating ML into real-world systems
• Proven ability to design, train, and deploy Data Science models and optimization algorithms that directly drive product features or business outcomes
• Comfortable working across the entire data stack from pipelines and feature stores to inference APIs and monitoring
• Solid grounding in statistics, optimization, and operations research, with a practical mindset for applying theory to solve business problems
• Thrive in ambiguity, able to prototype quickly, validate ideas with data, and scale successful solutions
• Excellent communicator who can collaborate with product, engineering, and leadership teams to align technical direction with business priorities

• MS/MTech or PhD

   in 

  Computer Science, Data Science, Industrial Engineering, or a related technical field

  (preferred but not required for exceptional candidates)
  

Why Pull Logic?

• Be part of a mission-driven company redefining supply chain intelligence for the retail world.
• Work on cutting-edge technology with real-world impact and high visibility.
• Collaborate with researchers and engineers from 

  Georgia Tech

  , one of the top engineering schools in the world.
• Grow with a dynamic, fast-paced team and play a key role in building the future of our platform.

• Performance-based ESOP opportunities

   for exceptional contributors who help drive Pull Logic’s success and growth.

Ready to Build What’s Next?