If you are someone who is inclined around algorithms and a strong background in machine learning and statistics, you would be excited to collaborate with us on decoding fashion via cutting love to have team!
Myntra is a one stop shop for all your fashion and lifestyle needs. Being India, lamest store for fashion and lifestyle products, Myntra aims al providing a hassle free and enjoyable shopping experience to shoppers across the country with the widest range of brands and products on offer, horn India & across Ilia world. With an array of innovative solutions like Try & Buy. Sale previews, In-house data sciences team which conducts research to decode fashion profiles of Indian customers. I his helps fashion selling and buying happen on a mobile device? This is achieved by detecting implicit signals around consumers fashion taste, intent, etc from the huge amount of browsing and buying data we generate.
7 Data Sciences leam at Myntra uses data and algorithms to build la, scale systems to enable kilter decision making for the business as well as render better customer experience. Some of the areas of our focus are Personalisation, Pricing, Demand Sensing, Recommendation Systems.
Some of the cool things we are working on
Roles and Responsibilities:
An Ideal candidate for the role:
Myntra-Jabong together, have the unique positioning of being an online and offline, vertical, tech-enabled fashion player that has become the largest fashion retailers in this country. We are a one-stop shop for all your fashion and lifestyle need. We are going strong on all counts with 3000+ brands, serving 11+million customer base, 21k pin codes pan India, industry-leading customer experience and a certified Great Place to Work. We are India's largest e-commerce store for fashion and lifestyle and posted $1.6 billion annual revenue run-rate .
By creating a comprehensive platform, our small (and growing!) technology team powers this delightful experience, right from suppliers to the buyer's doorstep.A shopping experience that is enjoyable for the consumer and efficient for us depends a great deal on design and information architecture and hence we are always on the lookout for great team members.