
Data Strategist, Forecasting
5 days ago
AI-driven demand planning is revolutionizing the supply chain management industry.
- This role requires 3 days a week on-site work. Remote work options are not currently available.
The global SCM software market is projected to reach $45.2 billion by 2027, reflecting a compound annual growth rate of around 9.4% during the forecast period.
Small and medium-sized businesses now have access to technological advantages previously exclusive to large enterprise companies.
In this position, you will be responsible for designing, implementing, and deploying a next-generation platform integrated with Amazon AWS services such as EMR, Athena, Glue, and Spark.
Development of an ultra-real-time, AI-driven demand planning engine will help clients serve industries that manage perishable items, including food manufacturing, restaurants, grocery stores, pharmaceuticals, and more.
About Our Work- Employee Count: 500+
- Customer Count: 200+
- Revenue: Growing rapidly
- Profitable: Yes
Our team is modernizing demand forecasting capabilities through an enterprise-grade ML platform. We seek a highly skilled Senior Data Scientist / ML Engineer to design and operationalize advanced forecasting solutions at scale.
Job Responsibilities- Design, build, and deploy production-grade forecasting models
- Develop end-to-end machine learning pipelines for data ingestion, feature engineering, model training, and deployment
- Build probabilistic models to quantify forecast uncertainty
- Write clean, modular code following best practices
- Implement MLOps best practices including model versioning, monitoring, and CI/CD
- Work with distributed training frameworks for scalable model development
- Collaborate with cross-functional teams to align solutions with business needs
- Work with cloud-based environments for large-scale data processing
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