Material Handling Systems (MHS) has a direct hire for a Reliability Data Scientist opportunity available at our Atlanta, GA office. MHS is known throughout the material handling industry and well-recognized as the preferred integrator of intelligent material handling conveyor systems. MHS provides comprehensive turnkey design, build, and deployment services for a complete range of custom-engineered and designed handling systems for distribution, manufacturing, assembly, and courier applications.
As a Reliability Data Scientist, you will be responsible for the analysis of complex data sets including but not limited to timeseries, static classifications, and failure events. Your analysis would include the design of novel algorithms and approaches to drawing important insights out of our varied data sources. Your work will require inputs from subject matter experts, direct customer experience, and product development leadership. The output of your analysis will be embedded into an industry leading product for predicting failure and optimizing maintenance for industrial assets.
You will be working with a dynamic and collaborative team that integrates a wide array of technologies into a cohesive software product and leaves a foot-print in the smart IoT products industry.
This job description describes the general nature and level of work expected of a person assigned to this position. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. Employees may be required to perform any other job-related duties as requested by their supervisor.
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