WNS Statistical Lead CPG Retail Media & Entertainment Manufacturing Telecom Vertical

  • 8-12 yrs
  • Not Disclosed

Job Description

Domain CPG Retail Media & Entertainment Manufacturing Telecom VerticalNature 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 understandingIndustry 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.