Senior Director
Location
Bangalore
Experience
15–20 years
Required Skills
About the Role
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.
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., 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
Ideal Candidate
A hands-on technical leader with 15+ years building ML systems in retail who has scaled data science teams from 5-15 people, shipped production models to real business impact (price optimization, demand forecasting), and stayed current with GenAI applications.
Estimated Salary Range(medium confidence)
₹30 L – ₹55 L per year
Likely Interview Questions
- 1.Walk us through a production ML model you deployed in retail—what was the business metric, your team size, and what broke in production that you had to fix?
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