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Principal Engineer - Data Science

Principal Engineer - Data Science

Pull LogicKanpur, IN
10 hours ago
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  careers@pulllogic.com   and let’s start the conversation.

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