Principal Data Scientist – Agentic AI & Decision Systems
Recrew AI is building a foundational AI agent platform for India's SMB economy across commerce, payments, and logistics. The Principal Data Scientist will own end-to-end design of production-grade decision systems, including pricing, routing, and resource allocation. Candidates must have extensive experience deploying large-scale ML systems using Python, PySpark, and AWS. This is a high-ownership 0→1 role requiring strong background in optimization and experimentation.
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Experience
8-15 years
Function
Research
Work mode
Onsite, India
Company
Tier 2
What you will work on
Recrew AI is building a foundational AI agent platform for India's SMB economy across commerce, payments, and logistics. The Principal Data Scientist will own end-to-end design of production-grade decision systems, including pricing, routing, and resource allocation. Candidates must have extensive experience deploying large-scale ML systems using Python, PySpark, and AWS. This is a high-ownership 0→1 role requiring strong background in optimization and experimentation.
TAL's take
High-impact, 0-1 principal IC role with complex problem domains, though company brand is currently unestablished.
Very clear scope, specific technology requirements, and defined business domains.
Must haves
- 8–15 years of hands-on Data Science or Applied ML experience
- 3 years in a principal or staff-level individual contributor role
- Track record of building and shipping production-grade ML systems
- Strong proficiency in Python and PySpark
- Deploying and serving ML models using TorchServe or TensorFlow Serving on AWS
- Experience with optimization techniques applied to real-world problems
- Hands-on experience with experimentation design and causal inference methods
Tools and skills
Nice to have: llm, reinforcement learning, multi-armed bandit, mlflow, kubeflow.
About the company
Unfamiliar company name, defaulting to tier 2 for a nascent AI startup.