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Data Scientist team at Myntra uses data and algorithms to build large scale systems to enable better decision making for the business as well as render better customer experience. Data Scientist should focus on four areas Personalisation, Pricing, Demand Sensing, Recommendation Systems and Search.
Roles And Responsibilities:
As a data scientist, you will have the opportunity to leverage Myntra's rich data to develop data products that are used by millions of users and propel the growth of our business. You will collaborate with a strong team of engineers, product managers and fellow data scientists in defining the frontier of data products. Data scientists will work on how to evaluate potential approaches, build features, statistical/machine learning models and determine metrics. You will communicate insights/recommendations to a wide spectrum of stakeholders across the company.
1. Advanced degree in the quantitative field preferred.
2. 5+ years industry experience developing machine learning models at scale from inception to business impact.
3. Deep understanding of modern machine learning techniques and their mathematical underpinnings such as classification, recommendation systems and natural language processing.
4. Proven ability to tailor machine learning solutions to business problems in a cross-functional team.
5. Experience with distributed machine learning and computing framework (Spark, Hadoop, Mahout or equivalent) . Applied experience preferred.
6. Strong programming skill (Python, R, or Scala preferred). Experience productionizing machine learning model is a plus. High proficiency in at least one of the following broad areas:
Experience Required 5 to 9 years.
AI Research Engineer
Machine Learning Engineer
Myntra is a one stop shop for all your fashion and lifestyle needs. Being Indias largest store for fashion and lifestyle products, Myntra aims at providing a hassle free and enjoyable shopping experience to shoppers across the country with the widest range of brands and products on offer, from India & across the world. With an array of innovative solutions like Try & Buy, Sale previews