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As a Data Scientist, you play a crucial role in solving the unique challenges that arise as we bring the next billion people online. You mine one of the biggest repositories of user insight in India - working in areas such as recommender systems, user modeling, spam filtering, fraud detection, conversation and emotion modeling, social graph mining, graph search, viral growth modeling, churn modeling etc.
As a Data Scientist, you play a crucial role in solving the unique challenges that arise as we bring the next billion people online. You mine one of the biggest repositories of user insight in India - working in areas such as recommender systems, user modeling, spam filtering, fraud detection, conversation and emotion modeling, social graph mining, graph search, viral growth modeling, churn modeling etc.Essential Duties & Responsibilities
You create intelligent and highly relevant experiences in our products that wow our users
You analyze peta-scale data to train ML models and evaluate them with the right metrics
You work with engineers to create ML pipelines that process and mine massive scale data
You partner with product managers to make data driven decisions and help solve the right problems for our users
You champion the culture of experimentation and enable the team to live the Hike code
Knowledge, Skills & Abilities
B.Tech/M.Tech/ PhD from a reputed institution. Masters/ PhD is preferred.
4-10 years of relevant experience applying machine learning, statistics, text-mining, social network analysis, information retrieval, information extraction, AI, deep learning etc.
Strong depth and breadth of knowledge in different areas of data mining as well as reasonable programming and design skills to manipulate Big Data and build prototypes that work on massive datasets.
Work experience in an Internet company preferred.
Strong programming experience in at least one of the programming languages such as - Python, C/C++, Java, Scala
Experience in using tools such as Scikit-Learn, Spark MLlib, R, Weka, GATE, Cluto, Solr. / Lucene, ML-Pack, Vowpal Wabbit, LibSVM, Mallet etc.
Peer-reviewed publications at top international conferences/ journals in fields related to data mining, knowledge discovery and machine learning is a plus.
Experience in handling big data technologies such as Hadoop/ MapReduce, Spark, HBase, Cassandra, Storm, Hive, Pig etc. is a plus.
Exceptional problem-solving skills and strong business/ product thinking.
Hike's mission is to re-imagine messaging as 1 billion people come online on mobile devices that are faster and more powerful than the first set of PC's. It is our belief that messaging will do to mobile what browser did to desktop, only 100 times over. Hike today has over 100 million users and monthly messaging volume of 40 billion and is amongst the top 5 most used services in India. Data Scientist
Hike Messenger (stylized as hike M E S S E N G E R) is a cross-platforminstant messaging service for smartphones that use the internet for communication. In addition to text messaging, users can send each other graphical stickers, emoticons, images, videos, audios, files, voice messages, contacts and user location.
Hike was launched on 12 December 2012  and raised its first round of funding of $7 million from Bharti SoftBank in April 2013. Hike is a joint venture between Bharti Enterprises and SoftBank. On 16 August 2016 Hike raised $175 million in a new round of funding led by Tencent & Foxconn. After raising this round Hike Messenger reached the valuation of $1.4 Billion. Hike's founder is Kavin Bharti Mittal.