Live opening · Posted 21 hours ago

Data Scientist (Forecasting Focus)

D Square Consulting Services Pvt Ltd · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 21 hours ago
CompanyD Square Consulting Services Pvt Ltd
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SkillsPython, Power BI, Tableau
SourceLinkedin
ListedPosted 21 hours ago

About the role

Description supplied by the original job listing.

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

Work arrangement
No

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