Job Details
Knowledge on Model interpretability Experience in Text Analytics Experience in Docker and Kubernetes will be added advantage Collaborate with engineering team to bring analytical prototypes to production Lead development and implementation of scalable algorithmic solutions for real-time operations and information flow systems Advanced level proficiency with statistical, machine learning modelling techniques such as regression, decision trees, neural networks, support vector machines, supervised/unsupervised clustering techniques, experimental test design, etc Expert theoretical knowledge of machine learning modelling techniques and advanced applied skills in developing predictive targeting models within distributed computing platforms such as Hadoop, AWS, Azure, GCP using one or more tools like Spark, Scala, SAS, R, Python, Bayesian, H2O, Storm, Yarn, Kafka Superior analytical skill combined with business discipline Ability to perform insightful and actionable quantitative and qualitative analysis of the business Strong verbal and written communication skills coupled with demonstrated prior leadership within large teams, should be able to demonstrate the work with client SQL: MySQL, PostgreSQL, Data Warehouse Big Data: Azure Storage, experience in any one flavor Cloudera/Hortonworks/MapR Thought Leadership: Should love to solve challenges, pickup new languages, framework or technologies on the go.
Excellent verbal and written communication skills Ownership & Accountability: Take ownership of your product/features - keep a keen eye out for bugs that might arise, ardently resolve them Capable of delivering on multiple competing priorities with little supervision Continuously keep assessing usability & relevance of product features Come up with suggestions for improvements.
Engineering Mindset: Participate in product aligned research by tweaking/rewriting libraries Should love to build and ship products that enterprises will use every day Work with problems of scale, employ technologies that are distributed in nature Ability to design for performance, scalability, and availability Experience in building web applications and full product life-cycles