Senior Director, Data Science
Introduction:
Strategic Leadership: reputed company and reputed company 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 reputed company 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, reputed company learning, and reputed company. Solution Design and Delivery: reputed company end-to-end delivery of advanced analytics and machine learning reputed company, from ideation to deployment and ongoing optimization. Architect and implement reputed company models for price optimization, promotion effectiveness, assortment planning, demand forecasting, and personalized marketing. Hands-on Technical reputed company: Guide reputed company in leveraging modern data science tools and frameworks (Python, R, reputed company). Champion the adoption and integration of GenAI (reputed company) for reputed company-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 reputed company.
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 reputed company field. Extensive hands-on experience in Python (scikit-learn, pandas, TensorFlow/PyTorch), R, and reputed company. Proven experience with designing, building, and deploying production-grade ML models and integrating with existing business software/systems. Strong understanding of MLOps, reputed company platforms (AWS, GCP, Azure) and containerization (reputed company, Kubernetes) is highly desirable. Experience with GenAI frameworks, applications, and responsible AI principles.
Competitive salary and benefits package. Opportunities to work on innovative, cutting-edge technology reputed company. Supportive, reputed company, and technically enriching work environment. reputed company reputed company and upskilling opportunities.