Data Scientist

0 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview

Machine Learning models for our


Key Responsibilities

  • Build and improve ML data models for demand planning and forecasting

    globally, ensuring accuracy and consistency in approach within 2 main platforms we use today (SAP IBP and o9).
  • Understand and capture multi regional business needs

    to design scalable forecasting solutions.
  • Provide

    data-driven insights

    to improve forecast accuracy, reduce bias, and optimize inventory planning as well as drive adoption and process maturity.
  • Establish and monitor

    KPIs for forecasting performance

    , ensuring continuous improvement.
  • Collaborate with regional teams to

    standardize forecasting

    , and promoting best practices.
  • Support automation and touchless opportunities in demand planning processes using

    data science and analytics techniques

    .
  • Conduct root cause analysis for forecast deviations and implement corrective actions.
  • Communicate complex analytical findings in a

    clear and actionable manner

    to stakeholders at all levels to drive decisions and actions.
  • Drive capability building across regions on

    forecasting methodologies and analytics tools

    .


Preferred Skills & Qualifications

  • Strong background in

    demand planning, forecasting, and statistical modeling

    .
  • Working knowledge of

    data analytics tools

    (e.g., Python, R, SQL) and visualization platforms.
  • Ability to interpret data and translate insights into

    business recommendations

    .
  • Excellent

    communication and stakeholder management skills

    .
  • Experience in multi-country or regional planning environments is a plus.

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