Redlen Technologies Inc.


Job Description:Our R&D team plays a key role intechnology delivery to OEMs for photon-counting computed tomography (PCCT). We are expanding the team and hiring a Data Scientist. The successful applicant will assume a key and hands-on role in unlocking the information currently hidden in the gigabit-per-second image data flowing from these X-ray detectors during R&D experiments, reliability studies and production testing. You will be a bridge between this information and colleagues who have developed the world-leading Cadmium Zinc Telluride (CZT) growth technology, process development engineers, reliability engineers and application specialists all working to develop and implement our technology roadmap for detector performance, reliability and manufacturability improvements.Duties and Responsibilities:Develop tools to extract information from data sources used by the R&D, Validation and Test, and Manufacturing Teams, which include production and R&D databases, cloud-based data processing for production, and file-based results in some cases.Carry out preprocessing of structured and unstructured data, including cleansing, and validating the integrity of data to be used for analysis.Develop preprocessing tools compatible with the GB/s data flow from devices during testing, which integrate established algorithms and tools that convert raw count data into various performance metrics such as e.g., stability and uniformity maps.Develop statistical models to help identify patterns and trends in data.Develop appropriate predictive models and machine learning algorithms that relate data at one stage of production to outcomes at another, supports constant performance tracking and data reanalysis. Use these tools to improve and/or simplify our practices, e.g., in screening of CZT sensors before they are integrated into detectors, in reliability prediction, etc.Interpret and present the data using advanced visualization techniques appropriate for both data science specialists and accessible formats appropriate for less specialized consumers of the information.Write reports and make recommendations as appropriate.Contribute to design of experiments (DOE) to isolate the factors of interest and block any confounding factors that cause process or measurement variation.Execute additional tasks and duties as applicable.Experience:Proven experience as a Data Scientist or Data Analyst.Experience in data mining and cleaning.Understanding of machine-learning; familiarity with operations research is a benefit.In-depth programming experience with relevant tools, including experience with databases (SQL or NoSQL).Working with big data in emerging applications and/or relatively small organizations.Presentation of data using advanced visualization tools, including in written reports.Experience in a physical science or engineering discipline is an asset.Familiarity with process engineering tools such as Design of Experiments (DOE) and statistical data analysis using JMP or MiniTab is an asset.Skills:Strong programming skills and ability to learn new tools quickly.Strong math skills (e.g., statistics, algebra).Excellent oral and written communication and presentation skills.Analytical mind and problem-solving aptitude.Demonstrated positive attitude and self-motivation.Ability to work with limited supervision and manage responsibilities to all project stakeholders in a proactive way.Outstanding interpersonal skills and ability to work in a team environment.Personal Characteristics:Hands-on.Attention to detail.Quality-oriented.Collaborative.Time sensitive.Customer-focused.Flexible.Curious.Willing to learn.Education:Master’s degree or higher in engineering physics, applied physics, physics, electrical engineering, computer engineering, computer science, applied mathematics or relevant field.

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