Role: Senior Data Analyst / Data Science Engineer (Python & Statistical Modelling)

Location: Gurugram

Role Overview

Core mission: Own and productionize statistical models in Pythonprimarily regression and forecasting—by translating legacy Excel models into robust, tested, and scalable Python pipelines.

We’re looking for a Senior Data Analyst / Data Science Engineer with 7+ years of handson experience in Python-based analytics, statistical modelling (regression, forecasting, GLM), and robust data wrangling. You will convert complex Excel models into Python, validate parity, enhance them with software engineering best practices, and deploy them as reusable components/pipelines. The ideal candidate is equally comfortable discussing model assumptions with business stakeholders and implementing productionready code with tests and documentation.

Responsibilities
- Migrate existing Excel-based analytical/financial/statistical models into Python with feature parity, improved performance, and robust error handling.
- Design, build,



and validate regression and related statistical models (e.g., Linear/Multiple Regression, Logistic, Elastic Net, Timeseries/ARIMA/Prophet, Panel data as applicable).
- Data wrangling & EDA: Clean, join, transform large datasets; exploratory analysis; feature engineering; handling outliers and missing data.
- Model governance: Document assumptions, diagnostics (VIF, residuals, multicollinearity, heteroskedasticity), backtesting, and performance metrics (RMSE/MAE/AUC as relevant).
- Productionization: Package models into versioned Python modules/notebooks/pipelines; write unit tests, data validation checks, and automation scripts (e.g., cron/Airflow).
- Stakeholder engagement: Translate business questions into modelling problems; communicate insights, tradeoffs, and explain model outcomes to nontechnical audiences.
- Collaboration: Partner with data engineering to access data; with BI teams to publish results (dashboards, APIs); with product/op

📌 Senior Data Analyst (Gurugram)
🏢 Tekskills
📍 Gurugram