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DigitalCube Consultancy

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Data Scientist

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Summary

Data Scientist in Hyderabad building time-series forecasting models for demand, sales and supply-chain data — cleaning historical data, experimenting with statistical/ML algorithms, and deploying models to production. Core stack: Python/R, SQL, Prophet, ARIMA, XGBoost, LightGBM, MLflow. 2–5 years experience, ₹12–15 LPA, 6-day work week.

? WE’RE HIRING | DATA SCIENTIST – TIME SERIES FORECASTING ?

? Location: Hyderabad
? 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 Science
✅ 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.



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