Data Scientist - Manufacturing

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Manufacturing

Job Details

Data Scientist - Manufacturing

Seattle, WA

12 months

interview process: in a phone and an in person

We are looking for a data scientist, with previous experience in manufacturing, who is passionate about opportunities to improve the manufacturing process, including increased reliability and product quality for our Wood Products manufacturing mills. Client has a large manufacturing presence in North America with lumber, OSB, plywood, and engineered lumber products mills in Canada and the United States.

You must be effective at communicating timely and relevant information to business leaders and internal partners.

The position is part of our central Data & Analytics team and will be located in Seattle, WA. This is not remote and we expect that selected candidate will be in the office during work days.

Key Functions

  • Collaborate with manufacturing engineers, maintenance teams, and operations leaders to understand challenges and opportunities of our manufacturing processes.
  • Analyze manufacturing process data, sensor/IoT data, and quality metrics to uncover actionable insights.
  • Design and develop predictive models and identify the appropriate machine learning algorithms to forecast equipment failures, optimize maintenance schedules, and improve the quality of our wood products.
  • Design and implement statistical process control methods and anomaly detection techniques to proactively address quality issues in the manufacturing process.
  • Implement and optimize machine learning models, including retraining and deployment, to ensure continuous improvement and accuracy. Evaluated model effectiveness through rigorous testing and performance metrics.
  • Present compelling, validated stories to all levels of our organization, including peers, senior management, and internal customers that communicate opportunities and drive strategic business initiatives.
  • Create innovative insights and develop/maintain impactful reports, dashboards, and model outputs.

  • Qualifications
  • Strong proficiency in programming environment and languages, specifically Python (e.g pandas, scikit-learn, etc) and R.
  • Strong understanding of machine learning techniques, statistical analysis, and time series forecasting.
  • Experience utilizing data visualization tools such as Power BI
  • Experience working with large datasets of manufacturing, quality, and sensor/IoT data
  • Excellent problem-solving skills and ability to translate business problems into data science solutions.
  • Cloud computing experience such as AWS, Azure, or Snowflake
  • Communicate findings clearly to both technical and non-technical stakeholders, providing recommendations that drive measurable improvements.

Required

  • Master's in Engineering, Physics, Computer Science, Machine Learning or related areas.
  • 3+ years of experience solving problems through statistical modeling, applied machine learning and data analysis.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.