Data Scientist

We are seeking a Data Scientist with Product Mindset who treats code as a means to a strategic end. You will be the architect of our product s intelligence, building the mathematical logic and predictive models that drive our product path.

This role is designed for a builder who wants to evolve into a leader. You will own the analytical engine of the company today, with a defined pathway to owning the Product Roadmap tomorrow.

Your Core Mission

1. Architect the Logic (Modeling Prototyping)

• Build the "Gold Standard": You will design, train, and validate the core machine learning models (Classification, Regression, Forecasting) that solve our most critical business problems.

• Rapid Prototyping: You will use Python to build functional proofs-of-concept. You deliver the validated logic and mathematical framework that our Engineering team will scale.

• Algorithmic Strategy: You decide

  how

  we solve a problem. Is this a rules-based engine A simple regression Or a complex deep learning solution You own the trade-off between complexity and business value.

2. Define the Data Strategy

• Signal Discovery: You will not just use the data we have; you will dictate the data we

  need

  . You will design the feature requirements and tracking events necessary to capture improved user signals.

• Metric Definition: You will move beyond vanity metrics. You will define the "North Star" KPIs (e.g., Retention, CLV, Engagement Quality) that align our algorithms with actual business health.

3. Drive Product Experimentation

• Hypothesis Generation: You will mine our data landscape to find user friction points and propose data-backed features to fix them.

• Statistical Rigor: You will design the framework for A/B tests and product experiments, ensuring we distinguish between random noise and actionable trends.

• Roadmap Influence: You will present data narratives to leadership that directly influence

  what

  we build next.

The Ideal Candidate Profile

The Technical Toolkit:

• Proficient in Python SQL (ML Native): You are fluent in the Data Science stack (Pandas, NumPy, Scikit-Learn) and complex SQL. You write clean code to explore data and build models, not to develop applications.

• Strong Statistical Foundation: You have a deep grasp of probability, hypothesis testing, and error analysis. You understand

  why

  a model works, not just how to import it.

• Data Visualization: You can build compelling visualizations (Matplotlib, Seaborn) that make complex data obvious to non-technical stakeholders.

The Product Mindset:

• Outcome Over Output: You care more about moving a business metric than optimizing a hyperparameter. You understand that a simple model that solves a user problem is infinitely better than a complex one that never ships. You optimize for business KPIs (ROI, Retention), not just model performance metrics (AUC/F1).
• User Empathy: You constantly ask, "How does this model improve the users life"

Communication: You dont just translate the trade-offs you align. You should be able to explain the "Business Value" of an algorithm to the Executives and the "Mathematical Logic" to an Engineer.

Location - Chennai (WFO)

Years of Experience - 4+ years as Data Scientist

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.