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| Job Location | Chennai |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Recruitment Services |
| Functional Area | General / Other Software,Sales / BD |
| EmploymentType | Full-time |
The role spans the full lifecycle from analytic question definition, through data gathering, analysis, reporting/ visualization development, testing, and operational deployment and support iterations. The candidate must be able to work with business users to gather goals and illicit requirements, translate those into technical designs, coordinate with multiple source data owners, and then develop the end user friendly reporting and analytics platform of standard reports and self-service analytics interfaces.Responsibilities Identify and explore white space projects in Customer Service, Order-to-Delivery, Manufacturing and IoT by leveraging analytics to improve efficiency and effectiveness Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends. Conduct analysis of large data sets to distill insights and connect disparate ideas into cohesive recommendations and executive presentations Apply AI/ Machine Learning technology to solve real-world problems.Communicate and present models to business customers and executives.Coordinating with fellow data scientists Requirements: Degree in computer science, operations research, artificial intelligence, or applied sciences or Econometrics, Statistics or other quantitative field Total 6+ years of experience with Machine Learning, Statistical Methods, and Artificial Intelligence techniques and tools to include one or more of the following: linear, discrete choice, neural networks, deep learning, regression, classification, or clustering. 2+ years of experience using quantitative and qualitative analytical strategies and working with multiple data sources to generate insights from analyses (e.g. dashboards, tables, metrics) , answering questions or creating solutions, and manipulating data (e.g., check for data issues, clean, merge) 2+ years of experience using data visualization (e.g., tables, charts, graphs) to tell a story Preferred Qualifications Proven capability to balance multiple priorities, and excellent written and visual communication skills A strong sense of curiosity about the world and social behaviorStrong desire and aptitude for deep analysis, building models, designing impactful data visualization Experience working with Analytics, Data Science, or Business AnalyticsStrong business communication, presentation and writing skills Ability to communicate technical information and data to a non-technical audience in a logical, concise manner Experience with RDMBS, SQL, Spark OR Hadoop. Experience of functional programming with Python, Scala, or Java Demonstrated ability in the application of Machine Learning/ AI in real-world industrial settings with large scale data. Experience with Deep Learning frameworks such as TensorFlow/ Caffe/ Caffe2, PyTorch, / MxNet. Experience with Agile software development. email your details to Chat offline. Leave a message We are currently offline. Please leave a message and well get back to you shortly.I agree for my personal data to be processed and for the use of cookies in order to engage in a chat processed by Talent Toppers, for the purpose of Chat/ Support, for the time of 30 day (s) as per the GDPR.,
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