1. Position Summary:
The Data scientist will be responsible for using their analytical, statistical,
and programming skills to collect, analyze, and interpret large data sets to
support the organization in decision making, driven by data.
They will drive operational excellence & support to deliver a fact based 30
month demand plan.
They will coordinate cross-functional research activities and reconcile
significant variances for its reduction and work on mitigation actions
deployment and execution.
They will ensure that the monthly forecast submission deadlines and allied
reports are respected and enhanced where needed.
2. Key Job Areas of Responsibilities
Data Science
* Data Cleaning and Preparation: Ensuring data quality by cleaning and
transforming it into a usable format.
* Analysis and Interpretation: Using statistical, mathematical, and
computational techniques to analyze data.
* Model Building, Maintaining, & Experimentation: Creating predictive models
and algorithms to solve business problems.
* Maintain and training Demand Planning team on Planning tools related to data
science, machine learning & algorithm usage & fine tuning (ie: o9)
* Conceive, plan and prioritize data projects
* Reporting: Presenting findings through reports, dashboards, and
visualizations.
Demand Management & Accuracy
* Weekly check MAPE and BIAS at PN level;
* One Team: Discuss and align assumptions with Demand Planning Teams & CM at
required & meaningful level.
* Continuous Improvements: Follow defined standards and guidelines. Propose and
implement improvements.
* Check and address with improvement top offenders
Internal alignment and collaboration* GEM deployment and its substance for
business process excellence
* Drive annual SDP process and coordinate and lead key project through six sigma
principles
* Collaborate with Supply Chain, Customer Desk Specialist, Sales Team, Marketing
Team, Industry Insight team to support the development of the demand forecast
and manage demand p