Myntra, a brand synonymous with online fashion and lifestyle in the country, brings together technology and fashion to create the best experience for its partners as well as costumes. The company currently has partnered with over 5000+ leading fashion and lifestyle brands such as Nike, Adidas, Levis, Puma, Wrangler, and others. In addition, it serves over 27,000 pin codes across the country. 

Myntra’s data science team – one of the largest data science teams in the country – is the mastermind behind everything that the company does today, including business value, as a large majority of their solutions are AB tested. 

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The team delivers many data science solutions, which are deployed at various customer touchpoints every quarter. “The models create significant revenue and customer experience impact, alongside providing real-time, near-real-time, and offline solutions with varying latency requirements,” explained Hrishikesh Vidyadhar Ganu, head of data science at Myntra. 

Currently, Myntra works on a broad range of technical areas and business problems. Some of them include: 

  • Large scale recommendation systems: Like in-session intent, explore-exploit algorithms diversity, deep personalisation, identifying fashion trends, etc.
  • Virtual Try-On: 3D virtual try-on for garments and beauty and personal care.
  • Supply chain optimisation: Large-scale optimisation problems around regional utilisation and shipping promise. “We also leverage computer vision extensively for cataloguing, inbound QC, garment measurements, etc.,” added Ganu. 
  • Pricing: Demand modelling, portfolio pricing optimisation, optimised coupon allocation, etc.

The data science team at Myntra told Analytics India Magazine that it is currently hiring people for various data science roles across experience levels. 

Team Structure 

Myntra’s data science team is structured around pods-one-pod for a specific problem or business area. For example, there are separate pods for homepage, search, SCM inbound, SCM outbound, etc. Each of these pods is led by a data science manager and consists of 3-4 scientists. Multiple data science managers report to the head of data science. 

Expectations 

Following are the skills or expectations from data science at Myntra: 

Statistics 

Machine learning 

Mathematical modelling 

Systems 

  • Ability to translate ideas quickly into models and thus add value to business metrics 
  • Capable of working well with the product, business, and engineering teams

Data Science Tools used at Myntra 

ML modelling tools: Scikit, PyTorch, TensorFlow 

Data Processing:</…….

Source: https://analyticsindiamag.com/data-science-hiring-process-at-myntra/