Data Scientist

About Zivame

Zivame is re-imagining retail. One steady step at a time.

Launched in 2011, Zivame.com is India’s largest online lingerie destination. We have

revolutionised the lingerie industry and brought it out of the closet with a following of

over 10,00,000 women across India. Delivering the “best experience in lingerie

shopping” is the mission that brings all of us at Zivame together. We are funded by IDG

Venture Partners, Kalaari Capital and Unilazer Ventures Ltd.

Zivame has been recognised as the Hottest Start-up of The Year, 2013, by Business

World, besides being featured in Facebook’s 2013 case study of the Most Successful

Social Media Story.

The Zivame family is made up of people from diverse interests and obsessions which

range from the “fastest page-load time” to the “best-fitting work-wear lingerie”. If you

are competent, energetic and passionate to work in a start-up, then we should talk. Our

approach towards work is collaborative, innovative and data-driven. We promise you a

workplace that is exciting and empowering, and an opportunity that’s as big as you want

it to be. At Zivame, we love our customers and encourage our people to understand

them better.

Job Profile: Data Scientist/Senior Data Scientist (Product)

• Use advanced analytics to extract insight from data, to build models from it,

and to build the first prototype (MVP) if you are tasked with developing new

machine learning-based features

• Interested in creation of algorithms to solve for business problems like

personalization, price elasticity, customer retention, LTV prediction, feedback

sentiment analysis, route optimization, supply chain optimization and

effectively translating them into tech-products

• Excited by Zivame’s vision of creating a technology led, highly personalized

omni-channel experience for women of the world

• Convert data from various sources (click stream, feedback, sales/merchandise,

customers etc.), to facilitate analysis, conduct analysis, extract Insights,

management stakeholders & also collaborate with teams to drive impact and

results

Preferred Qualifications

• 3 years of data sciences experience with a bachelors or master’s

degree from Tier-1 Engg colleges

• Experience in data sciences preferably from the E-commerce or related industry
• Hands-on knowledge in common data science stacks (Python+DS libraries, SQL,

R+DS libraries, H2O, version control, etc.). Ability to frame business problems into
data science problems and create MVP (Minimum Viable Product) of out it

• Comfortable with the collection of mathematical apparatus needed to get the job done:

classic (logistic, SVM, RF, XGBoost, etc.) and deep learning (RBM, CNN, RNN, LSTM,
etc.) algorithms, convex and non-convex optimization, Linear Algebra, etc

the caveats are, and when (or not) to use them

• Understanding of machine learning techniques and algorithms, such as k-NN,

Naive Bayes, SVM, Decision Forests, etc.

• Strong problem-solving ability - Candidate needs to exhibit structured thinking,

very strong Analytical Skills and Process Orientation

• High on energy, assertive and the ability to work under pressure and tight

deadlines

• Excellent written and verbal communication skills