Description :

As Indias leading Voice AI platform, Squadstack has vast experience and data across human and AI voice agent calling. We are building conversational superintelligence - a self learning system to enhance the experience for the end consumers through hyper personalization and hyper-contextualization, leading to higher conversions, satisfaction and improved RoI for our clients.

What you'll be doing :

- Dive into real conversational data to understand and model what makes interactions feel natural and effective.

- Experiment with machine learning ideas and turn learnings into tangible product upgrades and measurement frameworks, while balancing cost and performance.

- Partner closely with a small, fast-moving team of product leaders, FDEs, data scientists and engineers to ship improvements quickly.

- Continuously raise the bar on conversation quality and outcome conversion through rapid iteration and feedback loops.

- Play a hands-on role in making voice AI agents smarter, more adaptive, more effective and more human over time.

- Learn and iterate rapidly with guidance from experienced advisors.

- This is a hands-on high growth role for a data science generalist who can turn ambiguous problems into measurable solutions with strong cost discipline.

What We Want :

Required :

- 2+ years applied data science experience with strong foundations in classical ML

- Regression/classification, tree-based models, clustering, representation learning basics.

- Hands-on supervised and unsupervised learning, feature engineering, model validation.

- Experimentation basics:

- A/B testing, ROI framing, exposure/guardrail metrics; familiarity with CUPED or other variance reduction.

- Working knowledge of causal inference concepts (propensity, uplift) and how to avoid common pitfalls.

- End-to-end ownership:

- Ability to independently research, scope, build, and evaluate solutions from data sourcing to production rollout.

- Ability to collaborate with other ML, Product, Ops and FDEs to ensure impact and quality controls

- Technical/ Operational experience:

- Proficient in Python, scikit-learn, pandas, NumPy; experience with XGBoost/LightGBM.

- Has shipped models to production and monitored them.

- AWS basics (EC2, S3; SageMaker a plus); understands MLOps tradeoffs (deployment, monitoring, versioning, streaming vs batch inference).

Preferred :

- Implementation of a personalization/ recommendation engine or related sales/marketing/ lead oriented solutions in a B2C environment.

- Exposure to reinforcement learning or bandits; comfortable implementing simple LinUCB/LinTS with guidance.

- Experience with graph-based modeling/GNNs for lead intelligence or lookalike features.

- Experience building dashboards and business-facing analytics.

- PyTorch experience for simple sentiment/embedding models.

- TTS/ASR familiarity is a plus.

Logistics :

- Compensation: Competitive!

- Joining: ASAP!

- Location: Noida/Goa