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Data Scientist – Time Series Forecasting

Vrinda International
Posted 6 days ago, valid for 10 days
Location

Hyderabad, Hyderābād, Telangana

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The job opening is for a Data Scientist specializing in Time Series Forecasting located in Hyderabad.
  • Candidates should have 2 to 5 years of relevant experience, with a minimum of 2 years specifically in Time Series Forecasting.
  • The position offers a competitive salary ranging from ₹12 to ₹15 LPA.
  • Applicants must be local to Hyderabad and are required to work from the office for 6 days a week.
  • Interviews will be conducted face-to-face, and walk-in availability is mandatory for candidates.

 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.







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