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01/12 Lakshmi Vijayakumari
Consultant at Kapitus Strategy Services

Views:286 Applications:85 Rec. Actions:Recruiter Actions:32

Kapitus - Data Scientist - IIT/NIT/BITS (2-5 yrs)

Chennai Job Code: 1187995

- 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.

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

Women-friendly workplace:

Maternity and Paternity Benefits

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