Job Description
**Q: What is this role about?**
A: We're hiring a Digital Marketing Data Scientist – AI to work within AI-driven Marketing, part of the Artificial Intelligence (AI) function.
**Q: What skills matter most?**
A: Statistical Modelling, Machine Learning, Neural Network Architectures, Python, Data Preprocessing, Cloud Platforms (AWS/GCP/Azure), driven Marketing.
**Q: What experience is required?**
A: Around 5 years, consistent with a mid level profile.
**Q: Where is this based?**
A: Bhubaneswar, on a full-time (wfh) basis.
**Q: What does compensation look like?**
A: INR 4.4-16.1 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: What's the team like?**
A: New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
**Q: What does a typical day look like?**
A: Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
**Q: Is there room to grow?**
A: The next logical step from this position is a senior or lead-track role within the same function.
**Q: What's the interview process like?**
A: Interested candidates should be prepared to walk through relevant past work during the interview process.
A: We're hiring a Digital Marketing Data Scientist – AI to work within AI-driven Marketing, part of the Artificial Intelligence (AI) function.
**Q: What skills matter most?**
A: Statistical Modelling, Machine Learning, Neural Network Architectures, Python, Data Preprocessing, Cloud Platforms (AWS/GCP/Azure), driven Marketing.
**Q: What experience is required?**
A: Around 5 years, consistent with a mid level profile.
**Q: Where is this based?**
A: Bhubaneswar, on a full-time (wfh) basis.
**Q: What does compensation look like?**
A: INR 4.4-16.1 LPA, depending on experience and interview performance.
**Q: What qualification is expected?**
A: M.Tech (AI/ML) or an equivalent, relevant qualification.
**Q: What's the team like?**
A: New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
**Q: What does a typical day look like?**
A: Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
**Q: Is there room to grow?**
A: The next logical step from this position is a senior or lead-track role within the same function.
**Q: What's the interview process like?**
A: Interested candidates should be prepared to walk through relevant past work during the interview process.