OBJECTIVE OF THE JOB:
Responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.
Provide thought leadership, perform Advanced Statistical Analytics, and create insights into data to provide to the business actionable insights, identify trends, and measure performance which address business problems.
Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.
Build advanced statistical models, algorithms and trend analysis in order to discover predictive insights related to network and business objectives
Translate data algorithms and complex ideas into actionable management insights and solutions
Translate operator business objectives into business intelligence trough regressive data analytics
Explore and work on Big Data tools and technologies to sustain our continued operational transformation objectives and market leadership
Research and develop approaches on how to improve business processes and customers experience by using our vast amounts of data.
Previous experience on a similar job (at least 5 years)
Good knowledge of statistical analysis, theory of probabilities, design of experiments and machine learning.
Acumen for business flow understanding and expertise in data preparation- data mining and pre- processing.
Strong Knowledge of SQL, PL/ SQL, SQL Server, SPSS, SPAS
Good command of programming language and software environment for statistical analysis, graphics representation and reporting i. e. R, Python;
Knowledge of Business Objects
Distributed computing paradigms such as different distributions of Hadoop, Spark.
Experience*5 Year- 9 Years
Salary*Best in Industry