Data Scientist

DigitalCube Consultancy; Hyderabad; On-site; INR 900,000 - 1,800,000; Full time

Job summary

DigitalCube Consultancy is seeking a Data Scientist skilled in time-series forecasting to turn historical data into actionable business insights. You will model demand and supply-chain signals using Python or R and deploy solutions for production use.

The ideal candidate has 2-5 years of hands-on experience, works with MLflow for experiments, and can explain complex results to non-technical stakeholders. Bonus for experience with LSTM/RNN.

Qualifications

• Proficient in Python or R for data processing and modeling.
• Experience with time-series forecasting techniques and forecasting metrics.
• Familiar with MLflow or similar ML tracking tools.
• Solid knowledge of SQL and data wrangling.
• Experience with LSTM/RNN is a plus.

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.

Skills

Python

R

Exponential Smoothing

MLflow/ML Tracking

Education

B.E./B.Tech.

Tools

MLflow

Job description

? WE'RE HIRING | DATA SCIENTIST - TIME SERIES FORECASTING ?

? Experience: 2-5 Years

? 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

• Python or R
• Exponential Smoothing
• MLflow / ML Tracking Tools

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! ?