Details:

Job Description and Responsibilities:

- Importing, cleaning, transforming, validating or modeling data with the purpose of understanding or making conclusions from the data for business decisions

- Extensive use of data-mining tools such as R, Python, SPSS, SAS, MS-Access, SQL and MS Excel in order to identify & exploit potential revenue streams. 

- The incumbent is expected to play a pivotal bridging role between data scientists, technology specialists, and the business /functional experts.

- Develop statistical and machine learning models on distributed platforms such as Hadoop by using modern machine learning libraries such as SparkML, Shogun, Mahout and OpenNLP.

- Responsible for developing advanced predictive /prescriptive systems, creating efficient algorithms for business problem solving, improving data quality

- Experience with industry scale data mining and/or text mining and Machine Learning.

- The candidate should also be proficient in converting the algorithmic proof of concepts into business requirement documents for product development.

- Innovative and strong analytical and algorithmic problem solvers

- Ensure execution of critical Advanced Analytical projects, including driving innovative implementation and insights derived from data.

- Excellent critical thinking skills, combined with the ability to present complex analytical solutions to a non-technical audience.

- Comfort in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.

- Should be very good team player and able to provide technical and subject area guidance/directions to the team.

- The ideal candidate should have excellent communication skills

- Manage the core analytics support for the account assigned and leading the analysis and publication of reports 

- Evaluating CVM campaign offerings for their impact, profitability, ROI and targets.

- Skilled in segment identification and base management to enhance the MOU and ARPU, Customer Retention & Loyalty.

- Regular data mining to find out Recharge pattern, MoU trend, Grace & churn, Unique recharge, Power STV penetration, Incremental ARPU, zero usage. 

- Monitoring and analyzing market penetration of various products.

- Use Business Intelligence tool for making Pre and Post launch analysis of products.

Min. Qualification:

ug

Skills Required:

hadoop, machine learning, modeling, python, r, spark, spss, sql, text mining