Senior Data Scientist - Algorithm Lead
Turing Research Labs
Chennai (relocation assistance available)
www.frilp.com
About Frilp:
Frilp is a product of Turing Research Labs, a startup seed funded by CIIE, Incubation center of IIMA and have been recently invited to STARTX, Incubation center of Stanford University. We work with some of the leading minds in the field and have a Stanford University professor as our primary advisor (whose area of research is in building non-exploitable recommendation systems (review/rating systems)). Our story and recent happenings can be viewed in our blog.
Keeping humility aside for a bit, I think we have one of the smartest, well-balanced & open-cultured environments amongst start-ups in India.
Our Team comprises:
A Masters in Computer Vision, Machine learning guy from IIT Madras
A Masters in CS and GoldmanSachs NYC alumni
An ex-Product manager of an 8Mn$ Education ERP solution
An Architect with Mobile + Web experience
A UI designer/developer with 5 years of design-experience & 2 award winning mobile-app-designs
2 Hackers who Quit Amazon Full-time Jobs
Problem:
We have the Frilp Beta ready on Web and currently being used by the first set of early adopters. We are currently researching about Frilp being deployed both for Indian and USA market. We are putting together a recommendation framework which can determine similar users, similar businesses using Frilp’s native data and data obtained from external sources: Facebook, linked-in, Twitter & Phone-book for each frilp user. In a nutshell we don’t yet have a scalable analytics/algorithm framework that provides recommendation (suggestions) by analyzing external and internal data of users. The recommendation framework will suggest the right-users who are experts & who can be trusted for a specific topic, thus engaging users and helping them quickly discover the right information they need. We have just started building the framework and I’m inviting you to come in, take ownership and shape the framework from scratch. You can check out our first version of the algorithm, which in realtime, groups your facebook friends who share similar traits here.
Role:
1. Design and develop recommendation system using internal Frilp data and external Facebook, linked-in & Twitter data of users.
2. Build the Frilp Algorithm team from ground-up in near future.
What we expect:
We are looking for a Hands-on Senior data scientist, One who is passionate, experienced and knowledged about existing libraries and tools needed to build recommendation systems ground-up. We are not looking for an employee rather looking to add someone to our frilp core founding team.
Prefered Skill set:
1. Strong technical background and hands on in building recommendation system
2. Strong programming skills. Willing to learn Ruby on Rails. Since, our technology stack is based on Ruby on Rails.
3. Experience in building systems using one or more of the following techniques: NLP, Data Mining, Data Normalization, Collaborative Filtering. Working with large data sets added advantage.
4. 3+ years of experience in the recommendations/analytics space
Our Belief:
We truly believe attitude rules over aptitude…so you don’t need to be an ex-Google or ex-Facebook guy with 300/300 IQ… but we prefer you to be self-driven, having done a few hacks and pet-projects on mobile/web out of interest and let your work showcase your love towards programming, analytics and intelligent recommendation systems. We don’t want order takers, we don’t want rule-followers. We simply want genuinely talented, committed task-owners, who command respect through their work and attitude than their experience or titles.
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