About the Role
The Senior Data Scientist will design and implement advanced systems that support cross-domain manufacturing analytics. This role operates at the intersection of optimization, enterprise data integration, and applied analytics to enable data-driven decision-making across complex business workflows.
Key responsibilities include:
+ Developing and maintaining Python-based optimization models to support demand elasticity, production planning, and constraint-based decision frameworks.
+ Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using BigQuery, GCS, and Python.
+ Performing data reconciliation, fuzzy matching, and standardization across inconsistent source systems to ensure data quality and analytical integrity.
+ Designing and deploying lightweight internal applications (e.g., Dash-based tools) and contributing to containerized deployments to enable business-facing access to decision models.
+ Collaborating with cross-functiona...
Key responsibilities include:
+ Developing and maintaining Python-based optimization models to support demand elasticity, production planning, and constraint-based decision frameworks.
+ Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using BigQuery, GCS, and Python.
+ Performing data reconciliation, fuzzy matching, and standardization across inconsistent source systems to ensure data quality and analytical integrity.
+ Designing and deploying lightweight internal applications (e.g., Dash-based tools) and contributing to containerized deployments to enable business-facing access to decision models.
+ Collaborating with cross-functiona...
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