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Data Scientist Leader
1 month ago
We are seeking a highly skilled and experienced Principal Data Scientist to contribute to the strategic growth of MakeMyTrip's Personalization Team in Bangalore.
The ideal candidate will be a hands-on, individual contributor who is passionate about leveraging advanced machine learning and deep learning techniques to drive personalized customer experiences.
Key ResponsibilitiesAdvanced Analytics & Modeling- Design, develop, and implement advanced machine learning models and algorithms, including generative AI, uplift modeling, and causal inference, to drive personalized customer experiences.
- Lead the development of predictive and prescriptive analytics solutions to enhance personalization strategies and optimize customer engagement.
- Develop expertise in neural networks and graph neural networks for advanced personalization solutions.
- Implement trip ranking and route optimization models to enhance user experience and efficiency.
- Design strategies and models to determine what and when to cross-sell to customers, maximizing customer value and engagement.
- Collaborate with data engineering teams to ensure robust data pipelines and high-quality data for analysis.
- Develop and maintain scalable data infrastructure and architectures to support advanced personalization analytics.
- Work closely with product managers, marketing teams, and other stakeholders to identify opportunities for leveraging data to drive personalization and customer value.
- Translate complex analytical insights into actionable personalization strategies and business recommendations.
- Stay updated with the latest advancements in deep learning, generative AI, uplift modeling, and causal inference methodologies.
- Lead research initiatives to explore new methodologies, tools, and technologies that can be applied to MakeMyTrip's personalization efforts.
- Provide technical leadership and mentorship to junior data scientists and analysts.
- Foster a culture of continuous learning and improvement within the data science team.
Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Experience- Minimum of 8 years of hands-on experience in data science, with a proven track record of delivering impactful analytics solutions.
- Extensive experience with deep learning frameworks and libraries such as TensorFlow, PyTorch, and proficiency in generative AI techniques.
- Strong expertise in uplift modeling and causal inference methodologies.
- Proficiency in programming languages such as Python and SQL.
- Experience with modern data and machine learning platforms and tools such as Databricks, MLFlow, MLOps, and AWS SageMaker.
- Strong expertise in advanced machine learning, deep learning, and data mining techniques.
- Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
- Exceptional communication skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Experience in personalization, particularly in the travel or e-commerce industry, is a plus.