DATA SCIENTIST – TIME SERIES FORECASTING

Vrinda International; Hyderabad; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Vrinda International in Hyderabad is seeking a Data Scientist focused on time series forecasting to build and scale models for demand, sales, and supply chain.

You will analyze large historical datasets, experiment with ML and statistical methods, and deploy models into production while collaborating with business and product teams to drive data-driven decisions.

Qualifications

• Hands-on experience in data science and forecasting.
• Strong knowledge of time-series methods (ARIMA, ETS).
• Experience deploying models to production and monitoring.

Responsibilities

• Build and scale time-series forecasting models for demand, sales and supply chain.
• Analyse large historical datasets and identify trends.
• Experiment with ML/statistical algorithms to improve forecasting accuracy.
• Deploy and monitor models in production.
• Collaborate with business and product teams to drive data-led decisions.

Skills

ARIMA & Exponential Smoothing

Pandas

Scikit-learn

Statsmodels

MLflow or similar

LSTM/RNN

Education

Bachelor's or Master's in Statistics/Math/CS

Tools

Python

MLflow

Jupyter

Job description

DATA SCIENTIST – TIME SERIES FORECASTING

HIRING | DATA SCIENTIST – TIME SERIES FORECASTING

Work Mode: 6 Days – Work From Office

Experience: 2–5 Years

Timings: General Shift

Interview: Face-to-Face Only

Walk-in Drive: 5th September – Mandatory

No Virtual Interviews

KEY RESPONSIBILITIES

• Build and scale time-series forecasting models for demand, sales & supply chain
• Analyse large historical datasets and identify trends
• Experiment with ML/statistical algorithms to improve forecasting accuracy
• Deploy and monitor models in production
• Collaborate with business & product teams to drive data-led decisions

MUST-HAVE SKILLS

• ARIMA & Exponential Smoothing
• pandas, scikit-learn, statsmodels
• MLflow or similar tracking tools
• LSTM/RNN is a plus

Education: Bachelor’s/Master’s in Statistics, Mathematics, Computer Science or related field.

Candidates must have relevant hands-on experience in Data Science & Forecasting.