Data Science with CLTV

Role & Responsibilities :

- A Business facing role that requires collaborating with senior business leaders, to understand key portfolio objectives & challenges.

- Work with senior leaders within the Data Science function for the above, to frame business requirements and design required solutions.

- While designing solutions, keep an eye on implementation & application of Machine Learning algorithms being built.

- Work with different teams to collate data from HubSpot &/or Salesforce to build such solutions.

- Design experiments where required and frame means to harvest data generated from such experiments with an objective to use them in exercises.

- Be technically good in building models & data management.

- Has Strong communication skills and is able to articulate and present ideas or work to Senior Management and key stakeholders, as well as colleagues and support functions.

- Take lead in executing tasks on technical front and mentor / guide junior members of the team on the same.

- Be a subject matter expert on Customer Lifetime Value works and preferably have some knowledge of Market-Mix modelling and Customer Acquisition & Retention.

- Work on the subject at both a portfolio level as well as at a customer level with an intent to using them in conjunction with other streams like Acquisition & Market-Mix works.

- Has a good understanding of economics behind Lifetime Value calculations and acquisition & retention.

- Manage team on day-to-day activities including planning & allocating tasks as required in collaboration with senior leaders.

Required Profile :

- Has worked extensively on CLTV challenges using data science, preferably for the Financial Services industry.

- Has had exposure to collaborating with teams distributed across geographies & time-zones.

- Has worked on CLTV at both a portfolio level as well as at a customer level.

- Has good exposure to HubSpot, Salesforce environments.

- Be proficient in different modelling techniques including but not limited to Linear & Logistic regression, Random Forest, XGBoost, Chaid trees, survival modelling etc. using Python or other tools as may be required.

- Has had at least 2-4 years' experience in managing teams with a total experience of 5-8 years.

- Has a degree in engineering from an institution of repute - preferably from the IITs or NITs or has a degree in Economics or statistics from an institution of repute.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.