Senior Data Scientist

Bengaluru

Applications have closed

Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets The candidate will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform.


The ideal candidate should hold MTech, MS by Research or PhD in Computer Science/Electrical Engineering, or post graduate degree in Statistics, Operations Research or Mathematics from reputed institutions. They should be well versed in the following aspects:


● Theory and practice of machine learning, ideally as part of their curriculum
● Theoretical understanding of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, and Optimisation
● Command on data structures, algorithms and efficient processing of large datasets
● Well versed with Python
● Conversant with deep learning techniques and/or optimisation
● Desirable:
○ Publications
○ A number of class projects as part of their studies
● 2-4 years of experience

The candidate should have a proven record of developing and deploying data science models. They must be conversant with machine learning life cycles, model deployments etc.


Interview rounds:
1. PS-1. PS-2 if necessary.
2. Onsite-1: Depth in Mathematical Modelling
3. Onsite-2: Depth in Data Science
4. Onsite-3: Coding skills
5. Onsite-4: HM round.

Tags: Computer Science Computer Vision Deep Learning E-commerce Engineering Machine Learning Mathematics NLP PhD Python Research Statistics

Region: Asia/Pacific
Country: India
Job stats:  16  3  1
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.