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.