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Urgent! Principal Engineer - Data Science Job | Pull Logic

Principal Engineer Data Science



Job description

Pull Logic is transforming the retail supply chain with a revolutionary availability-oriented paradigm that directly links customer preferences with real-time inventory.

Backed by cutting-edge research from Georgia Tech’s School of Industrial and Systems Engineering , our AI-driven SaaS platform helps retailers and brands reduce lost sales, improve profitability, and elevate customer satisfaction.


We’re looking for a Principal Engineer – Data Science/Machine Learning  to join our core technology team.

This is a unique opportunity to shape the foundation of Pull Logic’s enterprise-grade Retail Tech products and work on solutions that have a direct impact on how modern retailers operate.

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?

Send your resume to  and let’s start the conversation.


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