Nature of Work: Advanced Analytics and Statistical Solutioning for business problems in CPG, Retailsectors
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.
Soft skills:
- Ability to work in a matrixed environment with multiple stakeholders and conflicting demands
- Excellent executive communication skills
- Unstructured problem solving skills
- Critical Thinking Skills
- Ability to influence and drive business and strategic decisions
- Ability to become a Trusted Advisor to both clients and colleagues
Angeline
HR Consultant
09822524763
GPS
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