Machine Learning , Data Scientist

Job Description

Job DescriptionJob Purpose : Provides deep technical Big Data and Machine Learning expertise to business vertical across the organization , governing the technical and methodology approach to solving Business Problems using Machine Learning.Key Result Areas / Accountabilities : This roll will be influencing and driving best practices to all the functions via vertical lead data scientists. The person in the roll is expected to look at state of the art research available in the ML domain , and conduct pilots , before they are adopted by the verticals.Will be the guardian of best practices , and help design interventions or process , that enable the teams to build robust scalable models for solving business problems. Establish governance mechanisms , to ensure repeatable performance , and constantly oversee the quality of ML solutions built by the teams. The person is expected to work on the difficult / challenging problems that has very high impact on business.Develop workflows to process data and develop models for a problem , and ensure thatsuch workflows and learnt models are transferrable to other problems that are similar innatureExcellent credentials in working as a team or self - motivated individual contributorwilling to collaborate with colleagues locally and globally.Core Competencies , Knowledge , Experience : Working in Big Data analytics & deployment of models and algorithms from large volumes of structured and unstructured data in a commercial / consumer environment.Turning complex (structured / unstructured / image / Voice) datasets into strategic insights for the business and communicate simply to non - technical audiences , visualizing results.Developing Machine Learning solutions to solve real business problems , taking account of user needs , technology and operational landscape Recognized as an expert in the community , mentoring and advising others on statistical techniques , algorithms and data sourcesHands On in Application of Big Data modeling and visualization tools (e.g. Hadoop , Spark , Python , D3.js , CartoDB , SciPy , GIS , NLTK , MLlib)Experience on Machine Learning on Public Cloud platforms ( AWS / Microsoft , Google)Experience in Deep Learning Frameworks Tensor flow , open - source libraries , e.g. , Keras , and open - source distributed computing frameworksDeep Expertise in Recommendation Engines , using data at petabyte scale.Ability to test hypotheses from raw data sets , draw meaningful conclusions , and clearly communicate results Expert in deep and broad statistical modelling Familiarity with applications of deep learning , computer vision , and generalized artificial intelligence (e.g. , convolutional neural networks , adversarial neural networks) , to solving business problemsAbility to work cross functionally to translate business issues into potential analytics solutions Strong communication skills with prior experience communicating analytics results to senior managementAbility to think critically , question assumptions and devise solutions to challenging technical problems. Experience with very large datasetsKnowledge of applicable data privacy practices and lawsExperience in end - to - end development of the data science processes experimentation , segmentation and documentation.Strong verbal and written communication skills.Strong decision - making skillsAbility to accurately and effectively tell the story told by the dataAttention to detail , excellent organizational , planning and analytical skills.Extensive knowledge attribution tracking technology or platformsHighly analytical mindset , with the ability to interpret performance dataA drive to be updated as well as master new technologies and techniques , it for solving business problems.Contact Detail of Recruiter : Contact Number,

Keyskills :
pythonsqldeep learningdata analysisbig data analyticsdata sciencebig datadata modelingmachine learningdata analytics