- Work with the Data Science & Business teams to understand key portfolio objectives & challenges and participate in framing business requirements and designing required solutions.
- During solution design stage, keep an eye on existing data available for building models and maintain clarity about how they would be implemented & applied.
- Work with different teams to collate data from HubSpot &/or Salesforce to build such solutions.
- Contribute to generating way to harvest data generated from experiments with an objective to use them in exercises. This will require the collated data to be structured, usable & maintained for future use.
- Be technically good in building models & data management.
- Should have good communication skills and be able to articulate and present ideas or work to members of the team, Senior Management and key stakeholders and support functions.
- Execute tasks on technical front and collaborate with members of the team on the same.
Required Profile :
- Has worked on CLTV challenges and has built machine learning algorithms for the same.
- Is comfortable working with teams distributed across geographies & time-zones.
- Has good exposure to HubSpot, Salesforce environments and other platforms.
- 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 2-5 years' experience in working on different modelling exercises.
- 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.
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