Data Scientist – Time Series Forecasting
Vrinda International Hyderabad, Telangana, India · ₹1M–₹2M/yr
Human Resources Services · 11-50 employees
About the role
Build, optimize, and monitor demand, sales, and supply chain forecasting models. Analyze historical data and trends to provide actionable business insights.
What they look for
Requirements
Requires a Bachelor's or Master's degree in Statistics, Mathematics, or Computer Science. Candidates must have 2-5 years of relevant experience with at least 2 years specifically in Time Series Forecasting.
Full 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.
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