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AMEA Data Scientist – o9 Demand Planning
Mondelēz InternationalData Scientist applying data analysis and model building skills for demand planning at Mondelēz International. Collaborating on data science projects and supporting statistical modelling for business insights.
Tech Stack
Tools & technologiesBigQueryCloudGoogle Cloud PlatformPySparkPythonSparkUnity
About the role
Key responsibilities & impact- Support o9 model build phase covering EDA, Feature Engg, Experimentation, slicing strategy, parameter tuning and reports review in coordination with RDS
- Support resolving model input data defects in coordination with Data Science Leads, BU DP Champions and Data Stewards
- Perform experiments supporting value to o9 model building on o9 experiment zone/tenant
- Participate in o9 Data Science trainings and upskilling plan
- Support Achilles project to harmonize the forecast granularity, driver ingestion, and experimentation
- Support during integration testing and user testing for specific business units in scope
- Support BU wise Data Quality Improvement track
- Build long term sustainable plan for AI/ML Model runs for the specific BU in scope
Requirements
What you’ll need- 6+ years of experience in data science or advance analytics roles
- Experience in any Data Science language like Python, Spark/Pyspark, or R
- Experience with Cloud solutions (GCP), Bigquery, Unity Catalog
- Knowledge and experience in data science cloud platforms like o9 solutions, Databricks, or similar
- Knowledge of analytical techniques in statistical modelling, machine learning, and driver-based forecasting
- Basic understanding of supply chain processes
- Ability to articulate data science outcome into business understandable language
- Experience developing and deploying high standard Statistical and/or machine learning solution
- Agile project management experience, good stakeholder management, vendor management skills
Benefits
Comp & perks- No Relocation support available
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data scienceadvanced analyticsPythonSparkPysparkRmachine learningstatistical modellingdriver-based forecastingdata quality improvement
Soft Skills
stakeholder managementvendor managementarticulation of data science outcomescommunication