Job Location: Chennai
Job Description:
- The Customer Experience Senior Data Scientist is responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
- In addition to advanced analytic skills, this role is also proficient at integrating and preparing large, varied datasets, and communicating results.
- As part of the Customer Experience team, this role utilizes customer, product, sales, and other data to obtain insights and develop solutions that will enable Customer Experience to create a world-class customer experience.
Roles and Responsibilities:
- Work with business stakeholders to identify the business requirements and the expected outcome.
- Work with and alongside data scientists and analysts by suggesting other insights of interest to the business partners.
- Model and frame business scenarios that are meaningful and which impact on critical business processes and/or decisions.
- Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo-location information or social media.
- Collaborate with subject matter experts to select the relevant sources of information.
- Work with the other IT teams to support data collection, integration, and retention requirements based on the input collected with the business
- . Solve analytics problems and communicate results and methodologies.
- Work in iterative processes with the client and validate findings.
- Develop experimental design approaches to validate findings or test hypotheses.
- Validate analysis by comparing appropriate samples.
- Employ the appropriate algorithm to discover patterns.
Key Qualifications:
- Masters degree in mathematics, statistics or computer science or related field.
- Solid knowledge of statistical techniques.
- The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
- Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), and statistical modeling(like Python or R).
- Experience using machine learning algorithms.
- Proficiency in the use of statistical packages.
- Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
- Proactive and not afraid to propose innovative approaches.
- Must be able to work across multiple teams and time zones.
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