Blue Yonder Demand Planning

algoleap; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

algoleap is seeking a Statistical Data Scientist & Commercial Consensus Facilitator to lead demand planning and forecasting for a large SKU portfolio across multiple geographies. The role focuses on calibrating native demand models and enabling automated data cleansing to improve forecast accuracy.

Responsibilities include designing multi-market forecasting workflows that incorporate POS data, promotions, marketing spend, and new product introductions, while maintaining strong cross-functional

Qualifications

• Experience managing a demand planning footprint of 50,000+ fast-moving retail/FMCG SKUs across geographies.
• Deep expertise in forecast exception-handling configuration and automated data cleansing/outlier rules.
• Strong proficiency with downstream integration touchpoints transforming raw transactional history into statistical inputs.

Responsibilities

• Calibrate and configure statistical demand models (Fourier, Croston, Holt-Winters) to handle promotions and baseline shifts.
• Architect cross-market forecasting workflows ingesting POS data, trade promotions, and new product introductions.
• Collaborate with commercial teams to align forecasting outputs with business objectives.

Skills

Demand planning

Forecasting

Data integration

Tools

Python

R

Blue Yonder

Job description

Domain Persona

Statistical Data Scientist & Commercial Consensus Facilitator

Key Core Tables

DEMAND, HIST, DMDGROUP, DMDPOSTING, PROMOTION

Differentiated Responsibilities

Statistical Model Calibration

Map, configure, and fine‑tune native Blue Yonder Demand algorithms (Fourier, Croston, Lewandowski, Holt‑Winters) to manage highly volatile consumer promotional uplifts and baseline shifts.

Commercial Process Blueprinting

Architect multi‑market collaborative forecasting workflows that elegantly ingest POS data, trade promotions, marketing spend, and new product introductions (NPI/supersessions).

Target Role‑Specific Experience & Skills

• Must demonstrate experience managing a demand planning footprint of 50,000+ fast‑moving retail/FMCG SKUs across multiple geographies.
• Deep expertise in statistical forecast exception‑handling configuration and automated data cleansing/outlier correction rules.
• Strong functional proficiency with downstream integration touchpoints transforming raw transactional historical data into statistical inputs.