Analytics Engineer - Statistical Process Control

Virtual/Remote, US Full-time Allows remote

Seeq is searching for one or more Analytics Engineers to play a critical role in the growth of the company as it serves industrial process enterprises.

In our internal parlance Industrial Process Analytics Engineers are experts in the use of our tools and work with customers in helping them to solve problems using our tools.  Our customers are within industrial process segments that collect and use large amounts of sensor data like oil & gas, pharmaceuticals, chemical, energy, power, food processing, and etc.  

Focus areas within the company including emphasis on product engineering, custom solutions, and sales application engineering. Analytics Engineer is a critical role and candidates are expected to continuously learn, grow, and contribute across several departments within the company.  Various tasks and responsibilities will include analyzing customer needs, prototyping custom solutions, as well as assisting with installations, training, and support functions.

Analytics engineers need to ultimately to understand the existing industrial software paradigm and have a passion for disrupting it with Seeq’s state-of-the art tools.  Ultimately we are about helping our customers drive down costs in energy, food, medicines, and other consumable products to make the world a better place.

Seeq prefers to emphasize talent, capacity to contribute, and passion for the problem solution over specific experience or background requirements, but even so, the ideal candidate is likely to have most or many of the following characteristics:

  • Good educational background in one or more related disciplines and may have completed pertinent graduate work.   Example disciplines might be Mechanical Engineering, Industrial Engineering, Electrical Engineering, Chemical Engineering particular chemometrics, Petroleum Engineering, Systems Engineering, Operations Research, Controls Engineering, Applied Math, and similar fields. 
  • Previous experience working as an engineer involved with analyzing time-history and process data in one of the industrial segmentsimportant to Seeq.  
  • Previous experience in developing analysis and modelling tools for process data. The successful candidate willhave a strong background in areas such as dynamic and steady state model identification using process data and associated applications, statistical process control, causality analysis, parameter estimation and machine learning.
  • You are regarded by your colleagues as one that ‘adds energy’ to everyone and every project you touch.  You enjoy dissecting and explaining complex tasks.
  • Exploits excellent communication skills and creative insights within multi-disciplinary team environments to contribute to exciting levels of shared vision and productivity.
  • Enjoys customer interactions and solving customer problems.  Able to translate a combination of customer-stated and customer-implied needs into a coherent needs documents for use by software development team.
  • Enjoys working with the latest software products and tools solving real-world business and industrial challenges. Programming experience in Python and other programming languages is a plus. Should be power user of Excel and experience in Matlab, R, Tableau or other BI tools would be helpful.
  • Experience prototyping new statistical or signal processing algorithms is essential (eg in one or more of: Java; Python; R, C++, Matlab).
  • Experience of advanced process data visualization and commonly used tools (eg Tableau)
  • Experience working and being successful in a virtual team environment.

We are recruiting three levels of Analytics Engineers: 

  • Analytics Engineer – Recent graduate to 6 yrs. experience
  • Senior Analytics Engineer – 7 to 12 yrs. relevant experience
  • Principal Analytics Engineer – 12 or more yrs. of highly relevant experience and/or graduate degree

This position will be issued equity (stock options) based upon his/her expected contribution.  We are organized as a virtual company with a headquarters in Seattle, WA.  We use state-of-the-art online collaboration tools for development and corporate functions.  Employees can be based virtually anywhere as long as they have access to a good office environment, high-bandwidth connectivity, and willingness to travel for team link-ups several times a year for a few days as well as to customer sites for 2-day visits about once per month.  We are actively interviewing candidates throughout the US.