The Opportunity :

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 products 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 user's life?"

Communication : You don't 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 - 3+ years as Data Scientist

Company site - https ://www.infinitisoftware.net/