Data Scientist - Forecasting & Analytics

Role: Data Scientist

Experience: 3+ Years

Location: PAN India

Type: Full Time

Mandatory Skills:

- Programming: Python, SQL

- Machine Learning: XGBoost, Regression, Classification, Decision Trees, Random Forest

- Time Series: ARIMA, Forecasting, Time Series Analysis

- Statistics: Statistical Modeling, Hypothesis Testing, Feature Engineering, Model Evaluation

- Analytics: Exploratory Data Analysis (EDA), Predictive Analytics, Business Analytics

- Libraries: Pandas, NumPy, Scikit-learn, Statsmodels

Role & Responsibilities:

- Develop and deploy predictive and statistical models for business problems.

- Build forecasting and time-series models using ARIMA and related techniques.

- Perform EDA, feature engineering, model selection, validation, and performance tuning.

- Apply XGBoost, regression and other ML algorithms to solve complex analytical problems.

- Translate business requirements into data-driven insights and actionable recommendations.

- Collaborate with business and analytics stakeholders to drive measurable outcomes.

Key Requirement:

Strong hands-on experience in Python + SQL + XGBoost + Regression + Time Series + ARIMA + Forecasting, with a strong background in Core Data Science / Analytics.