Data Scientist

Overview

We are looking for an experienced Data Scientist with strong expertise in Python
programming and forecasting techniques. The ideal candidate should have hands-on
experience building predictive and time-series forecasting models, working with large
datasets, and deploying scalable solutions in production environments.

Key Responsibilities
• Develop and implement forecasting models (time-series and machine learning based).
• Perform exploratory data analysis (EDA), feature engineering, and model validation.
• Build, test, and optimize predictive models for business use cases such as demand
forecasting, revenue prediction, trend analysis, etc.
• Design, train, validate, and optimize machine learning models for real-world business
use cases.
• Apply appropriate ML algorithms based on business problems and data characteristics
• Write clean, modular, and production-ready Python code.
• Work extensively with Python Packages & libraries for data processing and modelling.
• Collaborate with Data Engineers and stakeholders to deploy models into production.
• Monitor model performance and improve accuracy through continuous tuning.
• Document methodologies, assumptions, and results clearly for business teams.

Technical Skills Required Programming**
• Strong proficiency in Python
• Experience with Pandas, NumPy, Scikit-learn Forecasting & Modelling
• Hands-on experience in Time Series Forecasting (ARIMA, SARIMA, Prophet, etc.)
• Experience with ML-based forecasting models (XGBoost, LightGBM, Random Forest,
etc.)
• • Understanding of seasonality, trend decomposition, and statistical modeling

Data & Deployment
• Experience handling structured and large datasets
• SQL proficiency
• Exposure to model deployment (API-based deployment preferred)
• Knowledge of MLOps concepts is an added advantage

Tools (Preferred)
• TensorFlow / PyTorch (optional)
• Airflow / MLflow
• Cloud platforms (AWS / Azure / GCP)

Educational Qualification
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science,
Mathematics, or related field.

Key Competencies
• Strong analytical and problem-solving skills
• Ability to communicate insights to technical and non-technical stakeholders
• Experience working in agile or fast-paced environments