• Job Description

  Req#: 25-31364
  Job Description:
  
  Pay Range: $60hr - $65hr
  
  Required Skills and Qualifications:
  • Proficiency in Python for data analysis and algorithm development.
  • Experience working with Industrial sensor systems and using time series.
  • Analysis to predict failures/anomalies.
  • Experience working with key techniques listed here: segmentation, anomaly detection, change point detection.
  • Solid understanding of machine learning algorithms (e.g. scikit-learn) and statistical methods.
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn) to communicate insights effectively.
  • Experience working with REST API and ORCL data systems.
  • Familiarity with data processing and manipulation libraries (e.g., Pandas, NumPy).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills, both written and verbal.
  Preferred Skills:
  • Experience in semiconductor manufacturing or a related industry.
  • Techniques like Dynamic time warping, PCA, Sensor fusion etc would be highly desirable.
  • Understanding of statistical process control (SPC) and quality control methodologies.
  • Experience with version control systems, such as Git.
  • Knowledge of database management systems (e.g., SQL) and data warehousing solutions.
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) for advanced anomaly detection.
  • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).

• About the company

  We are a team of technical visionaries who joined forces to form a company that would gather the best and brightest talent in the world. The company uses this talent to help other organizations fulfill their technological dreams and goals and make them a reality. Welcome to Cynet Systems Inc. – a premier staffing and recruiting company – a nationally and locally certified diversity firm.

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