Data Analyst
4 weeks ago
About the Company - A growing company in the pipeline condition assessment industry is seeking a full-time Data Analyst to join their team. The company specializes in non-invasive technology that provides reliable data on pipe conditions to support smarter asset management decisions. This organization uses innovative methods to help pressure pipe owners save time, money, and resources, and is looking for an innovative thinker to assist with data processing for pipeline projects. Location: Greater Toronto Area (Partial remote work available, in-office presence preferred)
About the Role - Analyze and process field-gathered data as part of the condition assessment process. Develop and enhance Python scripts for data processing and interpretation. Review and integrate signal processing algorithms from sound files. Automate and simplify data processing to support analysis. Develop new methods for research and development (R&D) on collected data
Responsibilities
- Analyze and process field-gathered data as part of the condition assessment process
- Develop and enhance Python scripts for data processing and interpretation
- Review and integrate signal processing algorithms from sound files
- Automate and simplify data processing to support analysis
- Develop new methods for research and development (R&D) on collected data
Qualifications - Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or Physics (Master's degree is a plus). 3-5 years of relevant experience. Proficiency in Python, SQL, and database management. Familiarity with Octave or Matlab. Experience with distributed data processing frameworks. Strong understanding of software best practices (testing, benchmarking, peer reviews). Experience working through the machine learning lifecycle for data-intensive applications. Advanced knowledge of pattern mining, clustering, and parametric sweep optimization models. Prior experience in acoustical signal processing (optional). Knowledge of Machine Learning, AI, and Data Science. Strong communication skills and the ability to collaborate with both technical and non-technical teams
Required Skills
- Proficiency in Python, SQL, and database management
- Experience with distributed data processing frameworks
- Strong understanding of software best practices (testing, benchmarking, peer reviews)
- Knowledge of Machine Learning, AI, and Data Science
- Strong communication skills and the ability to collaborate with both technical and non-technical teams
Preferred Skills
- Familiarity with multivariate spectral analysis of time series data
- Previous experience in the pipeline or infrastructure industry is a plus
Pay range and compensation package - Competitive compensation, including bonuses, benefits, and time off, is offered.
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