.. (8-15 years experience) Location: Bangalore Would you like to work for an ambitious and dynamic startup company that is rapidly expanding into multiple verticals? Are you interested in developing novel and exclusive technology in a cutting-edge industry? Are you looking to develop and refine your expertise .. read more
MakeMyTrip-GoIbibo data science group is looking for experienced data scientists who would focus on building next level of pricing, discounting systems, revenue, business/supply, product decisions using a mixture of ML/DL and causal models, reinforcement learning, contextual bandits, hierarchical/nested/mixed choice econometric models.
An ideal candidate would:
- Build and deploy state of the art ML/DL models, causal systems, or RL/bandit models, nested/mixed logit choice systems for use cases in flights, train, bus line of businesses.
- Discuss with stakeholders (product and revenue management) at various stages of project, for data, to select appropriate model form, to set up appropriate A/B experimentation.
- Collaborate with other data scientists, data/software engineers.
- Build and own robust model infrastructure pipelines and API meeting 99% SLA at very high RPS, low latencies.
- Work iteratively, start with base line models, conduct A/B experiments, continuously enhance model forms to state of the art architecture.
- Opportunity to transform massive datasets at MakeMyTrip & GoIbibo into tangible business assets, create significant business impact through data science.
Desired Profile:
We seek individuals who are smart, highly proficient in python coding, critical reasoning, data analyses, AI/ML modelling depth, with strong math/statistics foundations, hungry to learn, and are fun to work with.
An ideal candidate would have following aspects:
Strong python programming skills, added skills in Pyspark [optional]
Strong ML/DL depth and breadth, with solid math/statistical foundations
End to end experience of training and deploying ML/DL models.
Experience with deep contextual bandits or RL or inverse RL, or causal ML modelling.
Experience of blending ML/DL models with econometric modelling methods (nested/hierarchical choice models), for pricing/discounting is a plus.
Experience in pricing/discounting systems or recommendation systems.
Candidate should have solid experience training and deploying ML models as well as pytorch/TF deep learning models on tabular datasets for relevant problems mentioned.
Candidate must know how to evaluate quality of function appropriator beyond traditional metrics. They should have worked on model sensitivity, explainability or other actionable decisions simulation aspects.
Strong problem solving, first principles thinking abilities.
Ability to work in a fast-paced, quarterly impact (A/B business) oriented driven environment.
Experience working in e-commerce B2C is a big plus.
Qualifications:
BE/BTech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IIIT/REC)
MS or Ph.D. in AI/ML, or Econometric/causal/applied-statistics systems, or Computer Science or equivalent.
6-8 years of entire work experience in DS/AI/ML
