Sr. Data Scientist - II

Responsibilities

• Build and deploy state-of-the-art ML/deep learning models for use cases in hotels, Flights, cross-selling, Ad notification, and a few other problems that straddle across multiple lines of business.
• Contribute to ML contextual bandit/RL platforms or pricing systems, or causal/uplift (CATE) models, or train advanced recommendation models with representation learning.
• Based on your capability, you may take up end-to-end responsibility for complex applied DS projects.
• Discuss with stakeholders at various stages of the project, for data, to select an appropriate model form, and to set up an appropriate A/B experimentation framework.
• Opportunity to work with high-volume click-stream e-commerce data.
• Build and own robust model infrastructure pipelines and API meeting 99% SLA at very high RPS.
• Opportunity to transform data at MMT into a tangible business impact through data science.
  

Requirements

• Strong Python programming skills.
• End-to-end experience of training and deploying machine learning models.
• Strong machine learning and statistical foundation.
• Ideally, but not mandatory, have trained and debugged deep learning models with tabular datasets, have trained representations/embeddings with content (text or image) for downstream tasks, or trained with user behaviour (click stream) data.
• Experience working with large datasets using Spark, Hadoop, or AWS Athena/Redshift (SQL).
• ML engineers should have experience in CI/CD, Docker, RestAPI, and ideally Spark or Kafka/Flink streaming.
• Strong problem-solving and conceptual thinking abilities.
• Ability to work in a fast-paced and deadline-driven environment.
• Experience working in the e-commerce domain is a plus.
• BE/BTech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IT/REC) in Computer Science/Statistics/IT/ECE stream.
• MS or PhD in Applied AI, Advanced deep learning, Applied Mathematics, Applied Statistical Modelling, Computer Science, Advanced econometrics programs, or equivalent.
• 4-6 years of work experience, which should include a minimum of 4 years of experience in Data Science.