What You’ll Work On

• Demand Forecasting: Build time-series models appropriate to supply chain variability, applying CV-based segmentation to classify materials by demand pattern (smooth, erratic, lumpy, intermittent).
• Demand Variability Analysis: Quantify forecast error across material master and movement data, identifying root causes and producing inputs planning teams can act on directly in SAP.
• Inventory Analytics: Develop inventory pre-positioning and health/trend monitoring (HTMS) analytics — safety stock recommendations, reorder point adjustments, and MRP parameter tuning.
• SAP ECC Data: Work directly with planning data — MD07 exception messages, purchase requisitions vs. PO receipts, and MRP-generated signals.
• Cross-Functional Partnership: Translate domain knowledge into concrete model inputs alongside supply chain planners, procurement, and operations teams.
• Exploratory Data Analysis: Analyze SAP transactional data (MARC, MARD, EKKO/EKPO, purchase reqs) to uncover demand patterns and leading indicators.
• Databricks Workflows: Build and maintain analytical workflows using PySpark, SQL, and Notebooks — reproducible and handoff-ready.
• Modeling Standards: Establish best practices for validation, segmentation logic, and presenting interpretable, trusted findings.

What You’ll Need

• 5+ years in a Data Scientist or analytical role, building statistical models in supply chain, manufacturing, or industrial planning contexts.
• Strong applied statistics foundation — time-series forecasting (ARIMA, exponential smoothing, intermittent demand models), demand variability analysis, and CV-based segmentation.
• Working understanding of supply chain planning — MRP logic, purchase requisitions vs. PO receipts, safety stock, and reorder points.
• Hands-on Databricks experience — PySpark, Spark SQL, and Notebooks for reproducible analysis.
• Strong Python (scikit-learn, statsmodels, pandas) and SQL proficiency for large SAP transactional datasets.
• Ability to translate statistical outputs into planning-relevant language for non-technical stakeholders.
• Strong written and verbal communication skills in English.

Why Lumenalta

Compensation & Benefits

• Salary range: $80,000 – $130,000/yr, based on qualifications and experience.
• Flexible working hours in a fully remote environment.
• Health insurance (medical and dental) for W2 employees.
• 401K contribution.
• Professional development fund and soft-skill courses.
• 15 days of paid time off annually.

Position Details

Full-time, minimum 40 hours/week, Monday through Friday. Fully remote — candidates must be based in regions aligning with Pacific, Central, or Eastern U.S. time zones for effective collaboration.

Application Deadline: August 9, 2026. Candidates can expect feedback by August 17, 2026.