Principal Data Scientist/Statistician

Principal Data Scientist / Principal Statistician

Level : Senior Manager

Primary Objective : The individual, in this role,is expected to be comfortable working as a data expert and a quantitative researcher.

- The ideal candidate will have a keen interest in the study of business problems relevant to Communications Service Providers (CSP), and a passion for identifying and answering questions that help us solve the complex business problems.

Job Responsibilities:

- 13 to 15 Years of experience in advanced analytics, on hands experience in predictive modeling, data management and manipulation

- 12 years of hands on experience on R,SAS, Metlaband other statistical tools

- Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc.

- Solid understanding of programming logic and various paradigms

- Answer business questions by using appropriate statistical techniques on available data

- Communicate findings to both business and technical audiences

- Drive the collection of new data and the refinement of existing data sources

- Analyze and interpret the results of analytical experiments

- Develop best practices for instrumentation and experimentation and communicate those to solution deliver teams

- Experience in Segmentation, Logistic Regression, Time Series forecasting, Decision Tree, Chaid, Cart etc

- Ability to mine unstructured data, including Text Mining using statistical tools

- Ability to integrate unstructured data analytics with structured data to build predictive models

- Ability to understand and analyze data models how the data is stored in relational databases

- Ability to understand system integration aspects of integrating model input and output in transactional systems to help real time decision making

- Good understanding software application architecture and develop integration approaches for predictive models

- Serves as an escalation point for escalated statistical model related issues.

- People management responsibility

Technical Knowledge and Skills required:

- SAS certified with Strong knowledge on R, SAS, Metlab& other statistical tools

- Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc.

- Hands on SQL/ Oracle queries

- Proficient in MS Office, especially MS Excel and Power point

Soft Skills Required:

- Establish and maintain effective working relationships with peer groups and key internal stakeholders and where applicable, manage key external stakeholders relevant to the achievement of business objectives

- Articulate with good communication and presentation skills.

- Ability to mentor Jr. Data scientists

- Highly driven, energetic, flexible, resourceful &ability to multitask.

- Adherence to timelines, without sacrificing quality of output.

- Hands on and detail oriented, with a strong ability to co-ordinate across different Geographies.

- Willing to travel; both short and long term.

Work Experience : 13 to 15 Years

Academics : Ph.D. or M.S. in Statistics/ Econometrics / Analytics