Opportunity Expired
Brief- Delhivery is India’s leading fulfillment platform for digital commerce. With its nationwide network extending beyond 18,000 pin codes and 2,500 cities, the company provides a full suite of logistics services such as express parcel transportation, LTL and FTL freight, reverse logistics, cross-border, B2B & B2C warehousing and technology services. Delhivery has successfully fulfilled over 550 million transactions since inception and today works with over 10,000 direct customers, which includes large & small e-commerce participants, SMEs, and over 350 leading enterprises & brands.
Vision- Since its inception in 2011, Delhivery has become India’s leading supply chain services company. Our vision is to become the operating system for commerce in India, through a combination of world-class infrastructure, high-quality logistics operations, cutting-edge engineering, and technology capabilities.
Team- Delhivery was founded in 2011 by Sahil Barua, Mohit Tandon, Bhavesh Manglani, Suraj Saharan, and Kapil Bharati and is now 40,000+ people strong.
The analytics and BI team at Delhivery is a “business first data team”. We are part of both the technology and business teams, and our mandate is to identify and solve high-impact business problems using data and quantitative methods. To put it simply, everyone in the team is good at both understanding business and playing with data, and that is what we expect out of future employees as well.
We deliver more than 10 packages each second, and each package gets scanned, on average, 15 times. Conservatively, that is 13 million records a day from package scans alone. The scale and complexity of the business, and data, means that there is a massive opportunity for our team to have an impact on the firm’s finances and operations.
A large part of the work consists of understanding and manipulating data, finding patterns, linking it to existing and prospective business problems, and telling stories linking them. Along the way, we build some models, write some “smart” reports and build the odd dashboard. Occasionally we might put a model in production in collaboration with the tech and product teams.
Each person in the team takes end-to-end ownership of an entire problem statement - from talking to the concerned teams and defining it, gathering and putting together the data, analysing the data, building models and finally telling a story in a way that can be easily implemented by business.
Culturally, we are ambitious (in terms of the work we take on), experimental (always looking for new and improved ways of doing things) and work at a fast pace. The problems we take on are necessarily ambiguous and vague, and each member of the team is expected to take end-to-end responsibility, and make decisions independently.
We need crazy (no exaggeration) algorithm designers to “perform gymnastics” with the firm’s data, draw analogies and find patterns, and tell stories that have not yet been told, and which will help the firm solve pressing business problems.
A very small sample of the problems you might work on:
We need fundamentally curious people who are happy to try new (and potentially unusual) approaches to solving the problems. We also need “algorithmic generalists” - people who are familiar with a very wide range of algorithmic approaches, and are always willing to learn and try out new things.
The role reports directly to Karthik Shashidhar, Senior Vice President, Analytics and Business Intelligence.
We are looking for people who are excited by data, and excited by business, and excited in bringing the two together to create high impact. We are a fast-paced team, and expect quick turnarounds. Most of the problems we work on are ambiguous, and resolving ambiguity is a key part of the role.
The opportunity is available to applicants in any of the following categories.
India
Indian Temporary Work Visa
Indian Citizen
Indian Permanent Resident