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Data Scientist (Forecasting Focus)

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Onsite

Data Scientist (Forecasting Focus)

D Square Consulting Services Pvt Ltd

Data Scientist (Forecasting Focus)

Skills

SQL QueriesTableauPythonData VisualizationMachine LearningApache AirflowPower BI

4 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

16 October 2026

What they need


JD – Data Scientist (Forecasting Focus)

 

This is a full-time opportunity with D Square Consulting Services Pvt. Ltd.

 

Experience: 3+ years

 

Location: Bangalore (On-site)

 

The candidate who can join within 30 days may apply

 

 

 

 

Job Summary

 

We are looking for a Data Scientist specialising in forecasting and predictive analysis. The role involves building robust forecasting models to drive supply chain, sales, or demand planning decisions. Candidates should be comfortable working independently while delivering business-aligned solutions.  

 

Must-Have Skills & Tools

 

  • Advanced proficiency in Python and SQL
  • Hands-on experience with time-series analysis and forecasting techniques
  • Strong knowledge of feature engineering and model deployment
  • Ability to interpret results, explain model outcomes, and present insights clearly
  • Knowledge of Streamlit and frontend applications.
  • Good understanding of data visualisation tools ( Power BI/Tableau ) and automation techniques

 

Good to Have

 

  • Prior experience developing sales, demand, or inventory forecasting models
  • Familiarity with ML model lifecycle and pipeline automation (Airflow, MLflow, etc.)
  • Understanding of business operations and financial metrics related to forecasting

Roles & Responsibilities

 

  • Design and implement accurate forecasting models using statistical and machine learning methods
  • Analyse time-series data to identify patterns and seasonality
  • Work closely with business stakeholders to provide actionable forecasting insights
  • Support automation and optimisation of data pipelines for continuous model improvement
  • Communicate key findings and recommendations effectively across teams

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