Roles & Responsibilities:
1. Create & maintain marketing KPI dashboards & reports.
2. Minimum 2 years of experience in working with tools like SAS, R, E-miner, MATLAB or UNICA etc.
3. Understanding of Data management concepts is preferred.
Design solutions & lead execution in advanced analytics engagements by understanding problems, identifying the most suitable approach.
4. Build Predictive & Prescriptive models leveraging machine learning & especially using R/Python/Bayeslab/SAS miner etc.
5. Provide thought leadership to the business team especially in marketing analytics such as MROI, Marketing Mix, Campaign Analytics etc.
6. Structure design concepts to create compelling & effective presentations & other visuals that convey solutions & analytical results clearly & effectively to the company.
7. Consult actively with business users to ensure that solutions are tailored to business needs & will support or result in actionable customer strategies, participate in a consultative role in implementing solutions.
8. Ensure detailed project documentation of the effectiveness of analytics-based strategies in organization, measuring the value of analytical solutions and reinforcing its value proposition.
9. Be a part of a highly competent & motivated team in delivering best-in-class models resulting in meaningful insights to the company.
Key traits of the modern data scientist :
They help organisations work out which content produces the most value
Help sales teams evaluate which customer and prospect segments they should focus on
Understand to a great detail which user journeys are producing sales conversations and more importantly sales
Build marketing automation sequences for the marketing teams
Create CRM Dashboards for senior management
Reviews and ensure all systems integrate
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