Sr. Data Scientist - I

You will be a part of the MakeMyTrip data science group and your primary focus will be on developing advanced AI/ML solutions such as personalization, ranking, recommendation systems, pricing systems, reinforcement learning/bandit experimentation platform using diverse data sources like click stream, customer, entities, and text data. **Key Responsibilities:** - Build and deploy cutting-edge ML/deep learning models for various use cases in hotels, flights, cross-selling, ad notification, and other business domains. - Contribute to ML contextual bandit/RL platforms, pricing systems, causal/uplift (CATE) models, or advanced recommendation models with representation learning. - Take end-to-end responsibility for complex applied DS projects based on your expertise. - Collaborate with stakeholders throughout the project lifecycle, from data discussions to model selection and A/B experimentation framework setup. - Work with high-volume click-stream e-commerce data to derive meaningful insights. - Develop and manage robust model infrastructure pipelines and APIs meeting a 99% SLA at high request per second (RPS). - Utilize data science to drive tangible business impact at MakeMyTrip. **Qualifications Required:** - Proficiency in Python programming. - Experience in training and deploying machine learning models end-to-end. - Strong foundation in machine learning and statistics. - Ideally, experience in debugging deep learning models with tabular datasets, training embeddings with content data, or working with user behavior data. - Familiarity with handling large datasets using Spark, Hadoop, or AWS Athena/Redshift (SQL). - Experience with CI/CD, Docker, RestAPI, and Spark or Kafka/Flink streaming for ML engineers. - Strong problem-solving and conceptual thinking skills. - Ability to thrive in a fast-paced, deadline-driven environment. - Previous experience in the e-commerce sector is advantageous. - Educational qualification of BE/BTech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IT/REC) in Computer Science/Statistics/IT/ECE stream. - An MS or PhD in relevant fields like Applied AI, Advanced deep learning, Applied Mathematics, Computer Science, etc. - 1-3 years of work experience, including a minimum of 2 years in Data Science. You will be a part of the MakeMyTrip data science group and your primary focus will be on developing advanced AI/ML solutions such as personalization, ranking, recommendation systems, pricing systems, reinforcement learning/bandit experimentation platform using diverse data sources like click stream, customer, entities, and text data. **Key Responsibilities:** - Build and deploy cutting-edge ML/deep learning models for various use cases in hotels, flights, cross-selling, ad notification, and other business domains. - Contribute to ML contextual bandit/RL platforms, pricing systems, causal/uplift (CATE) models, or advanced recommendation models with representation learning. - Take end-to-end responsibility for complex applied DS projects based on your expertise. - Collaborate with stakeholders throughout the project lifecycle, from data discussions to model selection and A/B experimentation framework setup. - Work with high-volume click-stream e-commerce data to derive meaningful insights. - Develop and manage robust model infrastructure pipelines and APIs meeting a 99% SLA at high request per second (RPS). - Utilize data science to drive tangible business impact at MakeMyTrip. **Qualifications Required:** - Proficiency in Python programming. - Experience in training and deploying machine learning models end-to-end. - Strong foundation in machine learning and statistics. - Ideally, experience in debugging deep learning models with tabular datasets, training embeddings with content data, or working with user behavior data. - Familiarity with handling large datasets using Spark, Hadoop, or AWS Athena/Redshift (SQL). - Experience with CI/CD, Docker, RestAPI, and Spark or Kafka/Flink streaming for ML engineers. - Strong problem-solving and conceptual thinking skills. - Ability to thrive in a fast-paced, deadline-driven environment. - Previous experience in the e-commerce sector is advantageous. - Educational qualification of BE/BTech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IT/REC) in Computer Science/Statistics/IT/ECE stream. - An MS or PhD in relevant fields like Applied AI, Advanced deep learning, Applied Mathematics, Computer Science, etc. - 1-3 years of work experience, including a minimum of 2 years in Data Science.