About the role
? WE’RE HIRING | DATA SCIENTIST – TIME SERIES FORECASTING ?
? Experience: 2–5 Years
? Budget: ₹12–15 LPA
? Work Mode: 6 Days Working
? Qualification: B.E./B.Tech.
Are you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights? ??
We’re looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that directly support business growth, demand planning and supply-chain decisions.
? KEY RESPONSIBILITIES
• Build and scale robust time-series forecasting models for demand, sales and supply-chain metrics.
• Clean, process and analyze large volumes of historical data from multiple sources.
• Experiment with statistical and machine-learning algorithms to improve forecasting accuracy.
• Deploy models into production and continuously monitor their performance.
• Collaborate with product and business teams to convert complex data insights into practical business strategies.
? MUST-HAVE SKILLS
✅ Data Forecasting / Time-Series Forecasting
✅ Python or R
✅ SQL
✅ ARIMA
✅ Exponential Smoothing
✅ Prophet
✅ XGBoost
✅ LightGBM
✅ Pandas
✅ Scikit-learn
✅ Stats models
✅ MLflow / ML Tracking Tools
⭐ GOOD TO HAVE
Experience with Deep Learning models such as LSTM/RNN will be an added advantage.
? IDEAL CANDIDATE
We’re looking for someone with 2–5 years of practical Data Science experience, particularly in forecasting, who has strong problem-solving abilities and can confidently explain technical insights to non-technical stakeholders.
If you have hands-on experience building forecasting models and want to work on impactful business problems, this opportunity could be for you! ?
? Interested candidates can apply/share their updated CV.