Data Scientist in Hartford, CT

$80K - $100K(Ladders Estimates)

Stanley Black & Decker   •  

Hartford, CT 06101

Industry: Retail & Consumer Goods

  •  

Less than 5 years

Posted 52 days ago

Responsibilities, Competencies and Experience

Responsibilities include:

  • Works on/ develops Discrete Event Simulation models for various parts of assembly lines and manufacturing operations
  • Leads the efforts related to the modeling, development and analysis of multi-domain controlled systems
  • Understand industry trends for simulation techniques and advance Stanley Black and Decker's capabilities.
  • Work with manufacturing engineering and production teams to identify production constraints
  • Perform value-stream analysis through the use of simulations
  • Support decision making on process layout through the use of data
  • Optimize plant layout by analyzing throughput capabilities, bottlenecks, buffer sizing and material routing
  • Aggregate and incorporate key production metrics including downtime from various process owners and execute the model to suggest improvements
  • Incorporate statistical variation, uncertainty and impact of unplanned events to overall output
  • Develop a visualization framework to capture both high-level factory operation and detailed subsystem operation and generate concise, clearly communicated analysis for stakeholders


Required experience and skills include:

  • BS/MS Industrial Engineering, Mechanical Engineer software, Manufacturing Engineering (or equivalent)
  • 3-5 years of experience in simulation and modeling of complex manufacturing environments
  • Experience doing the detailed analysis necessary to make data driven decisions on process layout design, production line design or warehouse design
  • Experience with MOS/MES systems such as FactoryTalk MES is a plus
  • Experience in manufacturing, supply chain and/or distribution and logistics
  • Extremely proficient with discrete-event simulation tools such as Arena, Anylogic, Tecnomatix, SimEvents and Matlab
  • Knowledge of statistics, uncertainty, and sensitivity analysis
  • Knowledge of engineering simulation and 3D design software delivering product modeling solutions such as Ansys
  • Strong analytical and organizational skills and ability to manage several projects at the same time in a highly variable and uncertain environment
  • Natural ability to speak and write effectively at all organizational levels


Valid Through: 2019-10-17