Data Scientist - 2 (DS-2)
Job family: Data Science
Level: DS-2 (equivalent to MLE-2 / AIE-2)
Scope of impact: Feature
Theme: Grows and Acts — completes scoped modelling tasks and
improves team process

Why this role exists
Product outcomes need deep problem ownership and tight iteration
with PMs and product engineering. A DS-2 turns a scoped product
problem into a calibrated model or decision system, ships it
through the standard production path, and owns its performance
after launch. You operate with minimal guidance on a defined
feature, not the whole domain.
What you own
- A scoped modelling problem framed as a DS task: hypothesis,
success metric, offline and online evaluation plan.
- Calibrated predictive or causal models with well-behaved
probabilities and effect estimates.
- Repeatable pipelines integrated with production workflows, not
one-off notebooks.
- Basic model monitoring for the features you ship.
- Post-launch performance of your model and its link to the
target KPI; iterate using telemetry.

What you do not own (yet)




- Platform uptime and shared serving infrastructure (ML
Engineering owns this).
- Domain-wide priority setting across multiple initiatives (DS-3
and above).
What you'll do (proficiency expectations at L2)
Data-driven decision making
- Build calibrated predictive or causal models with sound
probability and effect estimates.
- Articulate the impact of uncertainty and select an applicable
course of action with minimal guidance.
- Stress-test findings with simple mental models or simulations
before trusting them.
Technical expertise
- Set up fully reproducible environments for your own work and
share the guides with peers.
- Package work into repeatable pipelines and integrate them with
production workflows.
- Implement basic model monitoring.
Applied ML/AI/DS
- Frame and scope an prospect as a DS problem, and pick the
right solution family (prediction, optimization, causal).
- Review recent literature, build reproducible pipelines, and

📌 Data Scientist 2 (Bengaluru)
🏢 Moengage
📍 Bengaluru