Senior Director, Data Science
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.