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.
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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.