Data Scientist – Time Series Forecasting
Posted Updated
Summary
On-site Data Scientist in Hyderabad (6-day office week) building and deploying demand, sales and supply chain time series forecasting models using Python/R, SQL, ARIMA, XGBoost/LightGBM, LSTM and tools like MLflow.
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.