
Data Scientist III
- Bangalore, Karnataka
- Permanent
- Full-time
- You will design, implement, and maintain production-grade machine learning systems, with a strong focus on bandit algorithms and reinforcement learning methods for dynamic pricing
- You will work closely with teams in data science, engineering, product management, and business operations to bring experimental models into a robust production environment
- You continuously track model performance, visualize key metrics, and conduct deep-dive analyses to understand changes in system behavior and their impact on business outcomes
- You collaborate with business stakeholders to identify inefficiencies in current processes and propose data-driven, ML-powered solutions to address them
- You communicate results, methodologies, and technical insights to audiences of varying technical backgrounds, ensuring that both business and technical teams understand the value of your work
- B.Tech/B.E/ Master's Degree in Computer Science or similar discipline is a must.
- You must have 7+ years of relevant experience in Data Science
- Proficiency in Python and familiarity with modern ML frameworks (e.g., TensorFlow, PyTorch)
- Experience with cloud platforms (AWS, GCP, or Azure) is beneficial
- Experience in deploying and maintaining ML models in a production environment, ensuring reliability, scalability, and adaptability
- Passionate about learning new methods and solving real-world problems.
- Prior exposure to reinforcement learning, multi-armed bandits, Bayesian methods, or dynamic pricing is a plus, but not mandatory
- Fluent in English and enthusiastic about working within a diverse, multinational team.
- Cutting-Edge Tech: You Will be part of a dynamic tech-driven environment where innovation meets impact! We offer exciting challenges, cutting-edge technologies, and the opportunity to work with brilliant minds
- Competitive Compensation: A market-leading salary with performance-based rewards
- Comprehensive Benefits: Health insurance, wellness programs, and generous leave policies
- Flexibility & Work-Life Balance: Our culture fosters continuous learning, collaboration, and flexibility, ensuring you grow while making a real difference. Hybrid Work policies