Company: Delhivery
URL: http://www.delhivery.com/
About The Company:
Delhivery helps merchants and brands create successful online businesses through modular E-Commerce services and core logistics.
Our operational capabilities are designed to meet the needs of any business looking to go online. We provide sellers a modular suite of e-commerce technologies coupled with pan-India logistics operations, helping them achieve fast, reliable and flexible customer fulfilment.
Our proprietary commerce technologies toolkit provides sellers a way to develop and manage their entire online channel - including setting up a web-store and order management system, catalogue management, studio services, integration with marketplaces, managing payments, SEO/SEM, selling on social media platforms, user verification and fraud detection, inventory management. All our IT is built in-house and is completely customized to the unique needs of each of our clients.
Delhivery also owns and operates over 60000 sq ft of fulfilment space across 3 cities with a dedicated call center, along with an in-house express shipping network across 60 cities with over 85 distribution stations. By March 2014, we will have over 250000 sq ft of fulfillment space across 10 cities with express shipping in over 125 cities.
Headcount of Company: 1000+
Inception: 2011
Headquarter- Plot 84, Sector 44, Gurgaon - 122 002
LinkedIn Profile
Sahil Barua - Co-Founder at Delhivery
https://in.linkedin.com/in/sahil-barua-5168438
Kapil bhara - Co-Founder at Delhivery
https://in.linkedin.com/in/kbhara
Media Links
Delhivery, Tracxn invest $5 million in Parcelled
http://www.thehindu.com/business/delhivery-tracxn-invest-5-million-in-parcelled/article7806646.ece
Funding Links:
Delhivery gets $85 million booster shot
http://www.livemint.com/Companies/lVK64m3W3D3pUXQsXFYkIJ/Delhivery-gets-85-million-booster-shot.html
Designation - Sr. Data Scientist
Experience - 3+ years
Job description
Recruiting an experienced data scientist for Delhivery Data Services division.
Our team is a diverse mix of inter-disciplinary experts from backgrounds like : bio-statistics, econometric, engineering, computer science, physics, applied mathematics, statistics and machine learning, who live and breathe data.
We aim to grow this unit into a holistic think-tank that will employ cutting edge machine learning algorithms, and data-analytics tools on multi-terabyte data warehouses. We aim to leverage our vast on-ground knowledge on logistics, products and customers to improve the online shopping experience for the end consumer.
Desired Skills and Experience:
Skills/Background Required:
- Strong mathematical background and hands-on experience in conducting statistical analysis, development of predictive models.
- Machine Learning Techniques :
a) Supervised Learning.
b) Unsupervised Learning.
c) Semi-Supervised Learning
Machine learning paradigms:
a) Decision Trees
b) Support Vector Machines.
c) Neural Networks
d) Ensemble Methods
e) Bayesian Approach
f) Logistic Regression
g) Random Forests
- Experience with Big Data tools Spark, Hadoop, NoSql.
- Experience with statistical languages and packages (SAS, R, Matlab etc.)
- Strong programming skills in C++, Python, and Java.
- Excellent written and oral communication.
- Must be able to adapt to a fast changing environment
- Ability to work independently as well as collaboratively within a team
Qualification - Ph.D/ Masters in bio-statistics, econometric, engineering, computer science, physics, applied mathematics, statistics or machine learning .
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