Role Overview
The ideal candidate will play a pivotal role in driving data-driven decisions and delivering actionable insights for the Consumer Products Group, specifically within the Manufacturing Execution Systems (MES) domain.
What You Will Do
Design, develop, and implement advanced statistical models and machine learning algorithms to solve complex business problems, perform data wrangling, cleansing, and transformation, and develop predictive and prescriptive analytics solutions.
Why It Might Be a Fit
The ideal candidate will have 8+ years of hands-on experience in data science roles with a strong focus on analytics and modeling, and expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Requirements
- Bachelor’s or master’s degree in data science, Computer Science, Statistics, or related field (Ph.D. preferred)
- 8+ years of hands-on experience in data science roles with a strong focus on analytics and modeling
- Proficiency in Python, R, SQL, and experience with big data platforms (Hadoop, Spark)
- Expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Strong knowledge of MES systems and manufacturing domain data challenges
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
- Excellent communication and stakeholder management skills
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