Job Description
Demand Planning is hiring a Senior Inventory Data Scientist to take on a senior mandate within Demand Data Scientist, operating in a demand planning function trying to predict what customers will want before they order it. This is a role for someone who is expected to spend 12-19 years building credibility and, over time, own outcomes rather than just tasks.
The mandate centres on demand data scientist, and the person in this seat will be expected to bring depth in ERP Systems (SAP APO), Statistical Modeling, Cross-functional Coordination, Advanced Excel, S&OP Process, while also operating comfortably with ambiguity — senior roles here rarely come with a fully written playbook.
Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem. Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
On the qualifications side, we're looking at B.Tech/BE as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
Standard benefits include health insurance, provident fund contributions, and paid time off in line with company policy.
Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones.
There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
Benefits are in line with industry norms — health cover, PF, and annual leave, along with periodic performance bonuses.
Compensation for this position is ₹19.8 - ₹22.4 LPA, commensurate with experience, for a Contract engagement based out of Delhi NCR (Gurugram). If this sounds like the kind of senior inventory data scientist role you've been looking for, we'd love to hear from you.
The mandate centres on demand data scientist, and the person in this seat will be expected to bring depth in ERP Systems (SAP APO), Statistical Modeling, Cross-functional Coordination, Advanced Excel, S&OP Process, while also operating comfortably with ambiguity — senior roles here rarely come with a fully written playbook.
Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem. Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
On the qualifications side, we're looking at B.Tech/BE as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
Standard benefits include health insurance, provident fund contributions, and paid time off in line with company policy.
Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones.
There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
Benefits are in line with industry norms — health cover, PF, and annual leave, along with periodic performance bonuses.
Compensation for this position is ₹19.8 - ₹22.4 LPA, commensurate with experience, for a Contract engagement based out of Delhi NCR (Gurugram). If this sounds like the kind of senior inventory data scientist role you've been looking for, we'd love to hear from you.