About The Job
Position Overview:
We are seeking a highly skilled and experienced Principal Data Scientist to join our Personalization Team in Bangalore. The ideal candidate will be a hands-on, individual contributor (IC) who is passionate about leveraging advanced machine learning and deep learning techniques to drive personalized customer experiences.
As a Principal Data Scientist, you will work closely with cross-functional teams to develop cutting-edge analytics solutions, optimize personalization strategies, and contribute to the strategic growth of the organisation.
Key Responsibilities
Advanced 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.
Data Strategy & Management
- 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.
Business Collaboration & Insights
- 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.
Innovation & Research
- 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.
Mentorship & Leadership
Provide technical leadership and mentorship to junior data scientists and analysts.
Foster a culture of continuous learning and improvement within the data science team.
Qualifications
Education:
Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Experience
Minimum of 8-10 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.
Skills
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.
Skills: data science,nlp,machine learning,neural networks,deep learning,personalization,modeling
