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Head Data ScienceMoEngage is an Intelligent Marketing Cloud, built for the Mobile-first world. With MoEngage, companies can orchestrate campaigns across channels like push, email, in-app messaging, web push and SMS, with auto-optimization towards higher conversions powered by machine learning. Traditionally, marketing clouds are expensive to implement, hard to learn and rule-based. At MoEngage, we have built an enterprise solution that is easier to use, elegantly designed, fully integrated and is learning-based. MoEngage is the leader in the mobile engagement market, with presence across Asia, Europe and the US. MoEngage works with Consumer businesses across the world including Fortune 500 brands like Samsung, Deutsche Telekom, Hearst, Prudential, Vodafone and Internet-first companies like Flipkart Group, Tokopedia, Traveloka, Gaana, and Oyo. MoEngage enables hyper-personalization at scale by analyzing 200+ million users and delivering 10+ billion interactions every month.Should have :- Deployed 2-3 solution in his prior engagement. Should have seen lifecycle of ML product. (business understanding -> research -> model selection based on business and engineering constraints -> model scaling and deployment)- Ability to tailor ML solutions to cater to business problems across the Moengage product portfolio.- Design, develop, and evaluate predictive ML/AI models and define metrics that measure success and customer value delivery.- Work with engineers to translate models into scalable high-performance engineering systems.- Stay current with the recent advancements in ML/AI industry- Participate in internal and external technology forums and conferences. Eligibility criteria are:
Must have 6+ years of relevant experience and should have experience lead a team of Data Scientists.
Have strong experience in working with large data sets using distributed systems. Example, Apache Spark, Apache Drill, MapReduce, etc
Strong working knowledge of Python/Java.
Understanding of ML concepts - probabilistic methods, supervised and unsupervised learning algorithms.
Strong engineering and coding skills.- Experience working with Big Data technologies like Hadoop, Spark, kafka, etc.
Experience with working on public cloud systems like AWS is a plus
* Experience with working on public cloud systems like AWS- Experience with Recommendations systems and reinforcement learning is a plus
Desired Skills and Experience
Data Scientist,Data Science,Big Data,Python,Machine Learning,Artificial Intelligence