Job Description

Introduction

About Us:

SymphonyAI is a leading enterprise AI solutions provider empowering retailers and manufacturers to optimize business operations through customer insights. Our innovative technology and strategic collaboration position us as a preferred partner for leading retailers and manufacturers globally.


Job Description

About the role:

  • Strategic Leadership:
  • Lead and develop the Data Science and ML Engineering teams to deliver actionable business insights and production-grade ML solutions.
  • Collaborate with senior leadership to define the analytics and AI roadmap aligned to retail business priorities (pricing, promotions, assortment, personalized marketing, and customer experience).
  • Team Management and Mentoring:
  • Build, mentor, and retain a high-performing team of data scientists and machine learning engineers.
  • Foster a culture of innovation, continuous learning, and excellence.
  • Solution Design and Delivery:
  • Oversee end-to-end delivery of advanced analytics and machine learning projects, from ideation to deployment and ongoing optimization.
  • Architect and implement scalable models for price optimization, promotion effectiveness, assortment planning, demand forecasting, and personalized marketing.
  • Hands-on Technical Oversight:
  • Guide the team in leveraging modern data science tools and frameworks (Python, R, Spark).
  • Champion the adoption and integration of GenAI (Generative AI) for real-world retail applications (e.g., automated content creation, chatbot solutions, recommendation systems).
  • Deployment & Integration:
  • Drive best practices for robust model deployment and MLOps, ensuring seamless integration of models into retail software platforms or products.
  • Work closely with product and engineering teams to operationalize data science solutions at scale.

    • About you:

  • 10+ years of industry experience in data science and machine learning; min 3+ years in a leadership role managing data science and/or ML engineering teams.
  • Demonstrated expertise in retail analytics (price optimization, promotion analytics, assortment planning, personalization, customer segmentation, etc.).
  • Advanced degree (PhD/Masters) in Computer Science, Statistics, Mathematics, Data Science, or related field.
  • Extensive hands-on experience in Python (scikit-learn, pandas, TensorFlow/PyTorch), R, and Spark.
  • Proven experience with designing, building, and deploying production-grade ML models and integrating with existing business software/systems.
  • Strong understanding of MLOps, Cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is highly desirable.
  • Experience with GenAI frameworks, applications, and responsible AI principles.

    • About Us

    What We Offer:

  • Competitive salary and benefits package.
  • Opportunities to work on innovative, cutting-edge technology projects.
  • Supportive, collaborative, and technically enriching work environment.
  • Professional growth and upskilling opportunities.

    • About the role:

  • Strategic Leadership:
  • Lead and develop the Data Science and ML Engineering teams to deliver actionable business insights and production-grade ML solutions.
  • Collaborate with senior leadership to define the analytics and AI roadmap aligned to retail business priorities (pricing, promotions, assortment, personalized marketing, and customer experience).
  • Team Management and Mentoring:
  • Build, mentor, and retain a high-performing team of data scientists and machine learning engineers.
  • Foster a culture of innovation, continuous learning, and excellence.
  • Solution Design and Delivery:
  • Oversee end-to-end delivery of advanced analytics and machine learning projects, from ideation to deployment and ongoing optimization.
  • Architect and implement scalable models for price optimization, promotion effectiveness, assortment planning, demand forecasting, and personalized marketing.
  • Hands-on Technical Oversight:
  • Guide the team in leveraging modern data science tools and frameworks (Python, R, Spark).
  • Champion the adoption and integration of GenAI (Generative AI) for real-world retail applications (e.g., automated content creation, chatbot solutions, recommendation systems).
  • Deployment & Integration:
  • Drive best practices for robust model deployment and MLOps, ensuring seamless integration of models into retail software platforms or products.
  • Work closely with product and engineering teams to operationalize data science solutions at scale.

    • About you:

  • 10+ years of industry experience in data science and machine learning; min 3+ years in a leadership role managing data science and/or ML engineering teams.
  • Demonstrated expertise in retail analytics (price optimization, promotion analytics, assortment planning, personalization, customer segmentation, etc.).
  • Advanced degree (PhD/Masters) in Computer Science, Statistics, Mathematics, Data Science, or related field.
  • Extensive hands-on experience in Python (scikit-learn, pandas, TensorFlow/PyTorch), R, and Spark.
  • Proven experience with designing, building, and deploying production-grade ML models and integrating with existing business software/systems.
  • Strong understanding of MLOps, Cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is highly desirable.
  • Experience with GenAI frameworks, applications, and responsible AI principles.

    • What We Offer:

  • Competitive salary and benefits package.
  • Opportunities to work on innovative, cutting-edge technology projects.
  • Supportive, collaborative, and technically enriching work environment.
  • Professional growth and upskilling opportunities.

    • Apply for this Position

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