> Markdown version of [/jobs/ext/1891633-data-scientist-predictive-modeling-supply-chain-analytics](https://www.wearedevelopers.com/jobs/ext/1891633-data-scientist-predictive-modeling-supply-chain-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Predictive Modeling & Supply Chain Analytics - **Company:** Clevertech Partners, LLC - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Data Transformation, Apache Hive, Python (Programming Language), SAP ERP, SAP (Applications), SQL Databases, Transaction Data, Pandas, Pyspark, Scikit Learn, Statistics Packages, Software Version Control, Databricks - **Published:** August 1, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p8u2jxwle8 ## About the Role We're seeking an experienced Data Scientist with a strong applied statistics background and deep supply chain domain knowledge to join an enterprise manufacturing client., * 5+ years in a Data Scientist or analytical role, with hands-on experience building statistical models in supply chain, manufacturing, or industrial planning contexts. * Strong foundation in applied statistics-time-series forecasting fundamentals (ARIMA, exponential smoothing, intermittent demand models), demand variability analysis, and CV-based material segmentation. Classical statistical rigor is valued over black-box ML here. * Working understanding of supply chain planning concepts-MRP logic, purchase requisitions vs. PO receipts, safety stock, reorder points, and how planners make decisions-sufficient to translate planning requirements into model design. * Hands-on experience with Databricks for analytical model development-PySpark and Spark SQL for data transformation and aggregation, and Notebooks for reproducible analysis and model iteration. * Strong proficiency in Python (scikit-learn, statsmodels, pandas) for modeling and SQL for extracting and manipulating large SAP transactional datasets. * Ability to present model outputs and analytical findings to both technical teams and non-technical supply chain stakeholders-translating statistical outputs into planning-relevant language. * Strong written and verbal communication skills in English. ## Description * Build demand forecasting models using time-series methods appropriate to supply chain variability-applying CV-based segmentation to classify materials by demand pattern and selecting the right forecasting approach per segment (e.g., smooth, erratic, lumpy, intermittent). * Perform demand variability analysis across material master and movement data-quantifying forecast error, identifying root causes of variability, and producing inputs that planning teams can act on directly in SAP. * Develop inventory pre-positioning and health/trend monitoring (HTMS) analytics, translating model outputs into actionable signals for supply chain planners-including safety stock recommendations, reorder point adjustments, and MRP parameter tuning. * Work directly with SAP ECC planning data-extracting and interpreting MD07 exception messages, purchase requisitions vs. PO receipts, and MRP-generated signals to understand how planners currently work and where predictive models create the most value. * Partner with cross-functional teams-supply chain planners, procurement, and operations-to translate domain knowledge into concrete model inputs, validate outputs against real planning decisions, and communicate findings in terms the business understands. * Perform exploratory data analysis (EDA) on SAP transactional data (MARC, MARD, EKKO/EKPO, purchase reqs) to uncover demand patterns, supply variability, and leading indicators that inform forecasting and inventory models. * Build and maintain analytical workflows in Databricks using PySpark, SQL, and Notebooks-ensuring reproducibility, version control, and handoff-readiness for engineering and downstream consumers. * Establish modeling best practices for validation, segmentation logic, and presentation of findings-ensuring models are interpretable and trusted by both technical teams and supply chain planners who act on the outputs., This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Headless by Design: Building Enterprise Systems That Agents Can Actually Use](https://www.wearedevelopers.com/videos/100092-headless-by-design-building-enterprise-systems-that-agents-can-actually-use) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)