Data Scientist, Pipeline Analytics & Anomaly Detection

Intero Integrity; Calgary; On-site; CAD 100,000 - 130,000; Full time

Job summary

A global inspection and industrial services company is hiring a Data Scientist for MFL Robotics in Calgary, Alberta. This role involves developing analytical models for anomaly detection and collaborating with various teams to improve tool performance. Ideal candidates should have over 5 years of experience in MFL data science, proficient in Python and machine learning, with a Master's degree in Data Science. Exceptional benefits and competitive salary range of $100,000 - $130,000 per year.

Benefits

Competitive wages and bonus program

Extended Healthcare benefits

Flexible work hours

Paid time off

Qualifications

• Minimum of 5 years of MFL data science experience in the pipeline inspection industry.
• Experience with algorithm development and knowledge of relevant standards such as API 1163.
• Proficient in Python and machine learning technologies.

Responsibilities

• Develop and maintain analytical models for anomaly detection.
• Collaborate with R&D to improve tool specifications.
• Generate improvement proposals based on gleaned data.

Skills

MFL data science experience

Analytical skills

Python programming

Machine learning

Communication skills

Education

Master’s degree in Data Science or equivalent

Tools

MFL sensor systems

Job description

A global inspection and industrial services company is hiring a Data Scientist for MFL Robotics in Calgary, Alberta. This role involves developing analytical models for anomaly detection and collaborating with various teams to improve tool performance. Ideal candidates should have over 5 years of experience in MFL data science, proficient in Python and machine learning, with a Master's degree in Data Science. Exceptional benefits and competitive salary range of $100,000 - $130,000 per year.