Senior Data Scientist
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Job Description
Senior Data Scientist optimizing forecasting, inventory, capacity, and scheduling for Kreate’s plastic injection molding operations. Building production analytics and LLM-assisted tools across multiple plants.
Responsibilities:
- Own the production planning model, including demand forecasting, safety stock and inventory targets, and forward production plans across plants
- Build capacity and scheduling optimization models, including press and mold assignment, site balancing, and utilization targets while accounting for tool availability
- Own metric governance and establish consistent definitions for key business metrics, including labor as a percentage of production sales value, OEE, and net sales
- Reconcile metric definitions and calculations across the lake house, Power BI, and business applications to establish a consistent source of truth
- Design, execute, and analyze experiments with retail partners, including price and assortment tests
- Partner with engineering to build LLM-assisted analytics tools, including natural-language question-and-answer capabilities over the data warehouse, with evaluation methods, accuracy standards, and guardrails
- Support finance and corporate development with analytical modeling for acquisitions, capital projects, facility decisions, and other strategic initiatives
- Lead and mentor the Data Scientist
- Establish and maintain review standards for analytical code, methodologies, documentation, and business communication
- Present analytical findings, models, and recommendations to executive leadership and explain and defend the underlying methodology and assumptions
- Collaborate across data, engineering, operations, finance, and commercial teams to translate complex business problems into practical analytical solutions
Requirements:
- 5+ years of experience in data science, operations research, advanced analytics, or a related field
- Experience applying forecasting and inventory methods in production environments, including intermittent and hierarchical demand forecasting and service-level-based safety stock
- Experience with optimization techniques such as linear programming (LP) or mixed-integer programming (MIP), using OR-Tools, PuLP, Pyomo, or similar platforms, or experience developing practical scheduling heuristics
- Expert-level SQL and Python skills
- Experience developing production-quality code maintained in Git
- Ability to investigate and reconcile conflicting metrics or reports and establish a consistent definition or source of truth across teams
- Strong analytical judgment and ability to evaluate assumptions, methodologies, and limitations
- Excellent communication skills, including presenting complex analytical concepts to executive leadership and explaining and defending analytical methods
- Leadership or mentoring experience
- Preferred: experience with injection molding, plastics manufacturing, or multi-plant S&OP
- Preferred: experience with Microsoft Fabric and Power BI semantic models
- Preferred: experience using LLM APIs, including Anthropic or OpenAI, in production analytics tools or applications
- Preferred: experience formally managing or mentoring analysts or data scientists
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