Job Category Senior Data Scientist Job Domain Big Data Advanced Analytics Level of Experience 8-12 years of Relevant Experience Description middotExperience using Statistical and Machine Learning algorithms on real data, in commercial environments. Experience in the Telecom Domain is a big plus. middotExperience with linear algebra, especially sparse systems middotExcellent and wide ranging experience in supervised and unsupervised learning. Reinforcement learning a plus. middotExperienced in the use and design of logistic regression, support vector machines, ensemble trees, and neural networks. Optimization problems a plus middotFamiliarity and experience with the standard machine learning packages, such as numpy, scipy scikit-learn, TensorFlow, keras and Theano middotDeep knowledge in any of the flavors of SQL, middotExperience in data munging, data cleansing etc. middotExperience in feature selection, feature engineering. middotExperience in the development of recommender systems. middotExperience with Hadoop, HDFS, Hive, Spark and MLlib. middotCandidate should be very client oriented, proactive, innovative, problem solver. middotShould be conversant with best practices in data sciences, data mining, and software development. middotExperience with REST API o Very Good Knowledge on one and more Statistical Tool like RPython o Solid hands-on experiences with Hadoop technology components such as HDFS, HBase, Cassandra, Kafa especially with Spark and Spark Streaming o Familiar with programming concepts with CC and Java. o Very Good Knowledge on working with MS Office especially PowerPoint, Excel middotExcellent communication and interpersonal skills, with proven ability to take initiative and build strong, productive relationships. middotPersonal gravitas with demonstrated ability to establish credibility with senior executive teams at large enterprise level middotGood to have experience in Pricing and Profitability Analytics. middotLead customer interactions, while facilitating a wide range of activities. middot Influence and transform the end-to-end delivery process to maximize the value Customers gain from Analytics middotShould be able to quickly assess the areas in need of attention with a customer and propose solutions that can improve Customerrsquos ability to succeed. middotEngage with the customer to drive improvements and scale based on past experiences. middotPersonal gravitas with demonstrated ability to establish credibility with senior executive teams at large enterprise level middotAbility to handle multiple priorities and successfully execute in a dynamic environment. middotAbility to facilitate Analytics discussion and flush out the details required to enable successful delivery. Understanding of Importance of Continuous IntegrationContinuous Delivery best practices and tooling. middot Should be able to handle multiple projects and liaison with customer different teams to bring overall value add. middotShould have strong people skills and good team management experience. Associated topics: data administrator, data analytic, data architect, data engineer, data integrity, data warehousing, erp, hbase, sql, teradata
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