Sr. Data Scientist - I

1-3 Years

Posted 2 months ago
Over 100 applicants have applied

Job Description

MakeMyTrip data science group is looking for experienced Data Scientists and ML Engineers who would focus on building the next level of AI/ML personalization, ranking, recommendation systems, pricing systems, reinforcement learning/bandit experimentation platform with click stream, customer, entities, and text data.

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.
1-3 years of work experience, which should include a minimum of 2 years of experience in Data Science.

More Info

Job Type:

Industry:

Function:

Employment Type:

About Company

Makemytrip.Com

Job ID: 145168567

Jobs by Skill - IT

Jobs by Skill - Non IT

International Jobs

Jobs in Top Cities

Popular Jobs

Last Updated: 07-07-2026 06:45:02 AM

Homejobs in Bengaluru / BangaloreSr. Data Scientist - I

Similar Jobs

Sr Data Scientist - Advanced Machine Learning

Target

4-6 yrs

Bengaluru, India

Skills:

Tensorflow, Hive, Hadoop, Pytorch, Docker, Kubernetes, Python, Sql, Deep Learning, GenAI, LLMs

Sr. Data Scientist

Visa

5-7 yrs

Bengaluru, India

Skills:

tokenization , Machine Learning, Natural Language Processing, SAS, Data Modeling, Sql, Deep Learning, Pandas, Hive, Numpy, Spark, Python, NLP based n-grams methodology, Data Analysis, AI techniques, statistical models, fuzzy matching, Sanctions Screening, phonetics, name-matching, similarity scoring, R

Sr Data Scientist

Nium

3-5 yrs

Bengaluru, India

Skills:

Data Science, Machine Learning, Advanced Analytics, Transaction Monitoring, Predictive Models, Sanctions Screening, Ai, Model Development Techniques, Data Validation

Sr Data Scientist

Thermo Fisher Scientific

3-5 yrs

Bengaluru, India

Skills:

Power Bi, Natural Language Processing, Tableau, Sql, Deep Learning, Tensorflow, Git, Pytorch, Spark, Databricks, Azure, Python, AWS, data pipeline development, scikit-learn, machine learning frameworks, DevOps practices, R, ETL processes

Sr Data Scientist

moody's corporation

Bengaluru, India

Skills:

data engineering , unstructured data , Advanced Analytics, Data Services, Machine Learning, Apis, Data Modeling, Artificial Intelligence, Data Science, programming, Financial Analytics, integration frameworks, structured data, Capital Markets, analytical problem-solving, Risk Analytics, digital assets