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Lead Analytics Engineer

Gurgaon, HR
Job Code:
  • IT
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Job Details

A Sr. Scientist at Guavus is responsible for transforming an idea into a precise technical problem/hypothesis, designing and executing a data mining/machine learning solution including crafting a set of measurements/datasets, generalizing and driving the solution to production, and working with our field team to deliver value to our customers including interpreting the results. This resolves to turning extremely large volumes and high velocities of streaming data into outcomes for timely actions by our customers. A typical activity involves building statistical models from multiple data sources in order to provide advanced analytics whose results are communicated via dashboards or to machines for action. The ideal candidate should have demonstrated an ability to create novel mathematical solutions, perform proof of value and write production quality code to move the research into production. He/she is expected to work in collaboration with others in implementing the solution and contribute code to the advancement of our analytics platform. We are looking for a person who has led the development of solutions to significant problems either in a scientific or business data analysis domain. Our staff in this role currently helps our customers primarily large telecom service providers get insights to increase revenues or reduce costs by better network planning, customer churn management, service and cloud prospecting, application performance analysis, sales prospecting, etc.This is an exciting, technical role that is focused on enabling existing and new customers to create real, practical value through advanced analytics on their streaming data. You will work closely with our team of scientists and engineers in providing cutting edge analytics solutions to customers worldwide.Job ResponsibilitiesRefine customers and internal ideas to solvable technical problems and create analytics solutions including identifying state of the art techniques to solve the problem.Quickly design and conduct tests with the associated data to showcase a proof of value.Work closely with other team members on implementation which convert the business problem definition into validated results with customers.Build predictive and/or prescriptive models using R / Python and then translate the code into Java / Scala.Update the core machine learning functionalities in our product lines.Must be self-driven and capable of prioritizing, organizing, and managing a substantial workload as well as supervising the work of others.Desired Skills6 -10 years of experience in solving significant problems involving the analysis of terabytes of structured and semi-structuredExperience building successful predictive/prescriptive models, including outlier detection, classification, regression, and hypothesis testing.The ideal candidate will have hands-on-knowledge of Java, C/C++, R, Python or Scala.Good understanding of data structures and design patterns.An advanced knowledge of mathematics beyond statistics and linear algebra.Experience with text mining including classification, entity extraction, ontologies and other statistical/pattern techniques, is desirable.Hands on knowledge of Map-Reduce, Hadoop and Spark will be a big plus
Degree: Ph.D. (Doctorate)

Additional Degree: BE/ B.Tech (Engineering)

Experience: 6-10


Application Programming | Database Administration (DBA) | Software Engineer
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