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Data Scientist at Material Handling Systems, Inc. (Atlanta, GA)


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.


  • Cleaning, preprocessing, and verifying data from our various sourcesDevelopment of novel algorithms taking inputs from numerous data sources using skills in feature selection and statistical analysis for both regressions and classification systems
  • Interfacing with subject matter experts to account for their experiential understanding of the industry
  • Building high quality models to be integrated into our end product
  • Automation of model maintenance and performance tracking
  • Ensuring that implementation team understands the high level approaches by creating comprehensive documentation


  • 4+ years experience as a data scientist implementing models into production systems
  • Formal education or coursework in Mathematics, Computational Engineering, or Data Science (PhD or Masters Level)


  • Deep understanding of statistics and machine learning techniques / algorithms for regressions, forecasting, and classifications
  • Experience querying from SQL Databases
  • Experience with common data science tools and packages (Python [numpy, pandas, sklearn], Matlab, R)
  • Experience with Python is a huge plus for integrating with product team
  • Experience with data visualization tools for presenting out finding (d3.js, Tableau, Excel)
  • Experience in Agile/Scrum work environments with associated tools (Jira, Confluence)
  • Domain knowledge in material handling, industrial mfg., or logistics is ideal

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.