Experienced/Senior Data Scientist

Boeing•Hialeah, FL

1d•Hybrid

About The Position

Boeing Global Services, Distribution Business, is seeking an Experienced/Senior Data Scientist to join their team. This role will support the deployment and sustainment of demand forecasting and inventory planning software tools, specifically Servigistics / Planning Data Layer (SVG/PDL). The ideal candidate will possess strong technical and analytical problem-solving skills, along with excellent communication, presentation, and teaming abilities. Key responsibilities include simulating complex data models using Servigistics to sustain forecasting and inventory optimization, developing network-level supply chain strategies, and translating business needs into technical solutions. Success will be measured by the functionality of the software and the effectiveness of the inventory planning outcomes for business users.

Requirements

5+ years of experience performing Statistical Analysis
5+ years of experience using research tools and methods
5+ years of experience using SQL for data analytics
Must meet export control compliance requirements. A “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

Nice To Haves

Bachelor’s degree in industrial engineering, Supply Chain, Data Analytics, business, or related fields
7+ years of experience performing Statistical Analysis
7+ years of experience using research tools and methods
7+ years of experience using SQL for data analytics

Responsibilities

Evaluates model performance and recommends modeling techniques and adjustments to parameters to achieve objectives.
Connects systems and large data sets across business units and functions to develop forecast models that support shifting business and market trends.
Extracts, cleans, builds, and manages data sets to run models and simulations intended to root cause and address system issues.
Determines, defines, and deploys predictive/prescriptive analytic solutions to meet business requirements in forecast accuracy, inventory and stock transfer optimization, and other key processes.
Develops supply chain metrics to track progress to plan over time and stress tests the order pipeline for risks and opportunities.
Uses data visualization to communicate complex data findings through charts, dashboards, and storytelling.