A Leading Telecom Product Company is hiring Data scientist.
Ability and experience designing and developing solutions for increasing yield
Proven mastery of analysis and development of online ad systems for consumer products and services.
Minimum five to seven years professional experience
Minimum level of expectation from the data scientist
Should have knowledge on basic tools like R, python, Big Data echo system, Speech Analytics
Should have prior experience on Software engineering
Having good skills on statistics
Should have good knowledge in machine learning
Expert in multivariable calculus and linear algebra
The scientist should be expert in analyzing large, complex, multi-dimensional datasets with a variety of tools and are accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS. The scientist should have experience with any one of the BI tools such as Tableau and Micro-strategy. Scientists are comfortable with relational databases with Hadoop-based data mining frameworks. Be familiar with SQL, Python, Java and C/C++ is preferable.
The scientists are desire a fast paced, test-driven, collaborative and iterative engineering environment. It is important that the resource love learning, data, scale and agility. Also excel at making complex concepts simple and easy to understand by other team members
Proficient in data science domain and has experience of managing petabytes of data and using it for predictive, prescriptive and stochastic modelling. Well versed in systems for indexing and storage of large volumes of complex and semi structured as well as structured data, and the tools that support computationally extensive analysis of this data in real time. Expert in Data Engineering, Data Sciences and Decision Sciences and applies innovation to prototype and deploy the next generation analytics solutions such as cognitive computing and deep learning.
*Statistics (Hypothesis testing, Discriminant analysis, Linear/Logistic regression, PCA, Vector-analysis)
*Forecasting (Time Series)
*Machine Learning & AI (Classification, Clustering, Collaborating filtering/MBA, Neural Network)
*Multi-Media Analytics: Text mining(with sarcasm identification), video & voice analytics
*Advanced Analytics : Deep Learning, Cognitive Analytics
*Customer journey analytics/mapping