DATA SCIENTIST – TIME SERIES FORECASTING
Vrinda International Hyderabad, Telangana, India · ₹1M–₹2M/yr
Human Resources Services · 2-10 employees
About the role
Build and scale time-series forecasting models for demand, sales, and supply chain optimization. Collaborate with business and product teams to analyze large datasets and deploy models into production.
What they look for
Requirements
Requires 2-5 years of experience in data science with strong proficiency in Python/R, SQL, and various time-series forecasting algorithms. Candidates must hold a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.
Full description
HIRING | DATA SCIENTIST – TIME SERIES FORECASTING
Location: Hyderabad
Work Mode: 6 Days – Work From Office
Experience: 2–5 Years
CTC: ₹12–15 LPA
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
- Python/R & SQL
- Time-Series Forecasting
- ARIMA & Exponential Smoothing
- Prophet
- XGBoost / LightGBM
- 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.
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