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Data ScientistPh.DAVP/LeadBangalore

5.00 to 10.00 Years   Bangalore   14 Oct, 2019
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other SoftwareSales / BD
EmploymentTypeFull-time

Job Description

Key competency -Ability to comprehend intricate and diverse range of business problems and analyze them with limited or complex data and develop advanced analytical product/solutions/framework to drive best in class customer experience. -Responsible for developing, executing and implementing advanced algorithms that help in solving problems of large dimensionality using Cloud environment (GCP / AWS). -Highly Proficient with Python / R / Tensorflow to build various Supervised / Unsupervised Machine Learning Algorithms (Ensemble Learning, SOM, Autoencoder, Recommendation Engine, Neural Networks, OCR, Video Analytics, Image Processing, etc). -Designs, develops and programs/algorithms to analyze text / unstructured data from diverse big data sources and/or Cloud sources and generate actionable insights for product enhancements and driving customer experience. INTERNAL -Able to collaborate with academia tie-ups to embrace the latest cutting edge technology in data science and focus to leverage best practices across industry including e-commerce and leaders in the digital analytics space. -Work alongside Data Scientists / Data Engineers to bring Machine Learning models to scale. -Independently design and build new prototypes for large scale consumptions by various business lines. -Exposure to front-end development and UI/UX understanding and implementation will be desired. -Efficiently work and manage BigData (Hadoop/pig/hive/spark/etc) infrastructure. -Ability to integrate insights from psychology, neuroscience and microeconomic theory for to understand how market decisions are made and the mechanisms that drive public choice to solve relevant business problems. Roles and Responsibilities -Drive and implement best-in class analytical capabilities in the space of Machine Learning / Artificial Intelligence and establish the necessary eco-system to implement ML driven Analytical products across markets aligning to Group/Region/Country objectives. -Continually develops teams by keeping them abreast of industry land scape developments/changes in new tools, technologies and evolving client needs; resulting in people development and improved accessibility and analytical capabilities for end-users -Partner with Date Engineers and define and implement the Road Map of moving. -Business Data in GCP -Focus on up skilling the in-house talent base continuously to deliver at scale ,

Keyskills :
machinelearning python dataanalysis sql analytics frontend datascience videoanalytics imageprocessing digitalanalytics unstructureddata peopledevelopment euralnetw ks frontenddevelopment artificiali

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