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Data Analyst, In-line Inspection
1 day ago
Your JobWe are seeking a Data Analyst for our Pipeline Inline Inspection (ILI) Data Analysis team. DarkVision uses state-of-the-art proprietary acoustic imaging technologies to provide asset inspection services to industrial clients. This ultrasound system gathers immense datasets and identifies defects as small as a few millimeters. Automated processing, measurement, classification, and visualization algorithms are crucial due to the time-consuming and inconsistent nature of manual processing. In this role, you will interpret ultrasound data obtained from DarkVision’s Pipeline Inline-Inspection (ILI) tool to produce accurate and reliable inspection reports, essential for the safe operation of oil and gas pipelines. You will be responsible for identifying and annotating features within ultrasound imaging data, creating visualizations, and generating client reports. Our experts from across the machine vision, imaging, computer graphics, and data analytics sectors have worked to create the most technologically advanced platform for pipeline and downhole diagnostics. Come join our team as we embark on the exciting journey ahead to become the global leader in industrial imaging.***This position is full-time on-site in our HQ in North Vancouver, BC. While this position is Monday to Friday, 9am to 5pm, all applicants must be available to work in evenings or weekends if needed, and be open to shift work if needed in the future.Our TeamOur Data Analysts utilize 3D data visualization software and human-in-the-loop machine learning processes to meticulously analyze ultrasound datasets. The outputs of these analyses result in critical insights that enable our clients to make data-informed decisions on the operations and maintenance of multi-million-dollar energy infrastructure assets.What You Will DoInspect ultrasound data to identify and annotate features and defectsCreate 3D visualizations and renderings from raw ultrasound dataGenerate and edit detailed reports for client deliveryHelp define processes and training for the ILI data analysis teamOpportunities To Learn and Work On:Contribute to process automation and client reportingBecome a Subject Matter Expert (SME) in pipeline Non-Destructive Evaluation/Testing (NDE/NDT) integrity inspectionWho You Are (Basic Qualifications)Able to work 100% on-site in the North Vancouver officeAvailable for evening or weekend work if neededOpen to shift work in the future if requiredPost secondary degree or diploma in a STEM field (or in the process of earning) Experience in a professional work environment (e.g. full-time work, part-time work, co-op, internship)What Will Put You AheadBackground in statistics, mathematics, economics, or similar fieldsCollaborative problem-solver; solutions and action orientedData visualization experienceMATLAB or Python experience Image processing experienceExperience with 3D dataExperience rendering 3D imagesOil and gas industry experienceGeneral Salary RangeFor this role, we anticipate paying $28 to $29 per hour. This role is eligible for variable pay, issued as a monetary bonus or in another form.Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.How to ApplyIf you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted. We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage.Successful candidates will be required to complete a criminal background check.Keywords: ILI, in-line inspection, NDE, NDT, non-destructive testing, non-destructive evaluation, pipeline, integrity, well, logging, analysis, analyst, reporting, reports, ultrasound, ultrasonic, acoustic, 3D, computer vision, visualization, rendering, Python#LI-JN1
