WNS - Statistical Lead - CPG/Retail/Media & Entertainment/Manufacturing/Telecom Vertical

Domain: CPG/Retail/Media & Entertainment/Manufacturing/Telecom Vertical

Nature of Work: Advanced Analytics and Statistical Solutioning for business problems in CPG, Retail, Media & Entertainment, Manufacturing and Telecom sectors

Responsibilities:

- Lead and Manage a small team of statisticians/modelers/data scientists

- Set career path, enable growth and manage attrition for the team members

- Motivate, mentor and steer strategic direction for the team

- Ensure training and development needs of the team using internal and external options

- Manage delivery of advanced analytic solutions

- Oversee delivery as well as contribute individually on projects

- Methodology development, scoping, effort/time estimation and costing

- Ensure standards on quality, timelines and scopes are met

- Make analytical choices and take technical calls on simple and complex client problems

- Engage with clients to both understand the business problem as well as help them understand the technicalities in a way that makes business sense

- Plan, manage and grow P&L for the solutions team

- Business Development and Growth

- Contribute to development of new pitches for existing and new clients involving advanced analytics by collaborating with the pre-sales team

- Explore and Identify areas of new solution development by engaging the domain experts and client engagement leads

- Create new solutions and capabilities that can be monetized

- Advise leadership on identifying and implementing specific capability, practices, tools, and people that the organization would need to develop

- Show Thought Leadership in the area of solutioning and capability creation utilizing deep technical expertise and nuanced business domain understanding

Industry knowledge: CPG/Retail mandatory; Telecom and Manufacturing good to have

Functional Knowledge: Marketing Science and Analytics, Market Research, Database Marketing

Qualification/Prior work experience:

- Masters/PhD in Statistics

- 8-12 years of experience in the above functional areas and industries

- 4-6 years of experience in managing technical teams (Minimum 5 members)

- Deep expertise in using SAS, R, SQL, Matlab (optional)

- Deep expertise in techniques like Time Series modeling and Forecasting, SEM, Advanced Linear Regression (HLM/Mixed Models, Multiplicative models etc.), Logistic Regression, Decision Trees, Clustering, Bayesian Approaches, Optimization and Simulation

- Experience in developing advanced analytic solutions like Market Mix Models, Trade Optimization, Forecasting, Path Models, Discrete Choice Models, Strategic Segmentation and Propensity Models etc.

- Experience with CPG/Retail data sources like POS, TLOG, Panel, Primary Research etc.