Data Science Leader for Industrial Innovation
1 month ago
We are seeking a highly skilled Data Science Leader to drive innovation in industrial applications at CES. This is an exciting opportunity for a seasoned data scientist to leverage their expertise in machine learning and analytics to optimize industrial processes, enhance efficiency, and drive business growth.
Key Responsibilities:- Work closely with cross-functional teams to understand business objectives and translate them into actionable solutions.
- Develop predictive and prescriptive models using machine learning algorithms to forecast equipment failures, optimize production processes, and improve operational efficiency.
- Implement statistical methodologies for analyzing process variability and identifying opportunities for improvement.
- Master's or Ph.D. in a quantitative field such as Data Science, Computer Science, Engineering, Statistics, or Operations Research.
- 5+ years of experience in data science or related roles, with a focus on industrial applications.
- Proficiency in programming languages such as Python, R, or Scala, along with experience with data manipulation and analysis libraries.
- Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, time series analysis, and deep learning.
- Experience with data visualization tools and SQL databases.
- An estimated salary range of $120,000 - $180,000 per year, depending on experience.
- A dynamic and innovative work environment at CES.
- The opportunity to work on challenging projects and collaborate with cross-functional teams.
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