- 5+ years of hands-on experience in developing advanced Machine learning algorithms e.g. deep learning models, attribution modelling, statistical models (logistic regression, segmentation etc), market mix models, promotion optimization forecasting etc.
- 5+ years of experience in client management, engagement management & driving business impact for client.
- Understanding of Digital marketing as an area and how to leverage digital data assets for getting better returns on marketing spend & personalized targeting.
- Project management experience in database designing, data structuring and ETL
- Experience should also include structuring and project management of complex analytical projects
- People management experience
- Experience in handling large volume of data and generating meaningful insights out of it that are actionable.
Skills / Knowledge:
- Hands on experience in statistical modelling software such as SAS or R or python or SparkR
- Strong Microsoft Excel, Access and PowerPoint skills (VBA & SQL experience preferred)
- Highly proficient with Excel, PowerPoint, Outlook, and Word applications
- Excellent analytical thinking, analysis, and problem solving skills
- Ability to structure problems through a data driven decision making process
- Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to business issues through data analysis
- Excellent project management skills, including time and risk management, and project structuring
- Superlative communication (written/verbal) skills, including logically structuring and delivering presentations
- Organized, deliberate, and reliable in structuring work, and effective as a problem solver
- High aptitude to learn quickly, assimilate to new teams and projects, and work well under pressure with appropriate attention to detail
- Ability to interface effectively with multiple levels of management and functional disciplines
- Strong ability to influence/ drive consensus
- Strong negotiating skills
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