Senior Data Scientist

Bengaluru, Karnataka, India

Myntra’s Engineering team builds the technology platform that empowers our customers’ shopping experience and enables the smooth flow of products from suppliers to our customers’ doorsteps. We work on areas such as building massive-scale web-applications, engaging user-interfaces, big-data analytics, mobile apps, workflow systems, inventory-management etc. We are a small technology team where each individual has a huge impact. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform.

You will be part of: Data Science

? Data Sciences 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. Some of the areas of our focus are Personalisation, Pricing, Demand Sensing, Recommendation Systems,
Search etc. Some of the cool things we are working on !

? Decoding Fashion Contexts using Word Embeddings. Building novel algorithms for fashion Personalization & Recommendations. Building dynamic pricing models and novel metrics to evaluate to improve the experience. Building prediction models to improve delivery promise times. Building optimization models to improve supply chain cost

Your Responsibilities:

? Technical Guidance : 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.
? Execution and Delivery : You will be expected to instill and follow good software development practices and ensure timely delivery of high-quality products. You should be familiar with agile practices as well as be able to adapt these to the needs of the business, with a constant focus on product quality.

Desired Skills and Experience:
? Must have a Phd or a related field. Strong understanding of object-oriented programming, concurrency and fundamentals of computer-science.
? 2 years industry experience developing machine learning models sat scale from inception to business impact.
? Deep understanding of modern machine learning techniques and their mathematical underpinnings such as classification, recommendation systems , and natural language processing.
? Proven ability to tailor machine learning solutions to business problems in a cross-functional team.
? Experience with distributed machine learning and computing framework (Spark, Hadoop, Mahout or equivalent) . Applied experience preferred.
? Strong programming skill (Python, R, or Scala preferred).
? Experience productionizing machine learning models is a plus.
? High proficiency in at least one of the following broad areas:, Machine learning, Computer vision, Statistical modeling/inference, Information retrieval, Data mining or NLP


? Technical depth : You have the strong technical competence required to gain credibility. Ability to architect, design and code yourself. Technical experience in building and operating web-based applications. Deep understanding of all layers of the web-stack work (from the client
interface to the database. ) Knowledge of multiple technology stacks/languages/tools and their pros/cons.
? Execution ability : Focus on delivering products in a timely manner with high quality. Familiarity with multiple software development practices and tools, and the proven ability to adapt, champion and institute good practices and tools.