Data Scientist – Time Series Forecasting

Job Description

Data Scientist – Time Series Forecasting

Experience: 2–5 Years

Location: Hyderabad

CTC: ₹12–15 LPA

Work Mode: Work from Office | 6 Days

Interview: Face-to-Face / Walk-in Only

Looking for a Data Scientist with strong hands-on experience in Time Series Forecasting to build and improve demand, sales and supply chain forecasting models.

Key Skills:

• Data Science & Data Forecasting

• Time Series Forecasting – 2+ Years

• Python/R & SQL

• ARIMA

• XGBoost / LightGBM

• LSTM / RNN

• Pandas, Scikit-learn, Statsmodels

• MLflow or similar tracking tools

• Exponential Smoothing / Prophet

Key Responsibilities:

• Build and optimize forecasting models.

• Analyse historical data, trends and patterns.

• Test statistical and ML algorithms for model accuracy.

• Deploy models and monitor performance.

• Work with business teams to convert insights into actionable decisions.

Requirements:

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

• 2–5 years of relevant Data Science experience.

• Minimum 2 years of Time Series Forecasting experience.

Important:

• Hyderabad-local candidates only.

• 6 days Work from Office is mandatory.

• Face-to-face interview only; no virtual interviews.

• Walk-in availability is mandatory.

• Good college/organization pedigree preferred.

• DOB is mandatory for profile submission.

• Mention years of experience for all mandatory skills in the resume.

Requirements
Data Science & Data Forecasting • Time Series Forecasting – 2+ Years • Python/R & SQL • ARIMA • XGBoost / LightGBM • LSTM / RNN • Pandas, Scikit-learn, Statsmodels • MLflow or similar tracking tools • Exponential Smoothing / Prophet