Job Description

ENGINEERING PHD DATA SCIENTIST

Join an early stage venture-backed startup company just as it begins its growth, and have the opportunity to apply the latest in machine learning while applying that hard earned knowledge from your engineering degree!

Tignis provides Physics-Driven Analytics for Connected Industrial Systems, utilizing digital twin and machine learning technologies. Our solution automatically monitors and learns industrial systems, continuously detects threats to reliability and efficiency, and precisely identifies and predicts operational impacts. We currently monitor hundreds of plants worldwide.

We are looking for a DATA SCIENTIST WITH A PHD IN AN APPLIED ENGINEERING FIELD, SUCH AS CHEMICAL ENGINEERING OR MECHANICAL ENGINEERING. Someone who spent years becoming an expert in their engineering field who also has non-trivial experience applying machine learning and data science. As part of your engineering education or work experience, you've built high fidelity simulations such as FEM or CFD. You will work with a small team to bring together your engineering knowledge and machine learning to help industrial and manufacturing customers turn sensor data into business value. You will both have the chance to contribute to the core software product and work directly with customers. This is a remote position.

RESPONSIBILITIES:

• Work with customers on their engineering challenges and design analytical solutions that combine the best in engineering, simulation, and machine learning
• Use statistics and data science to make decisions based on data
• Create machine learning models that can be deployed to production for industrial and manufacturing plants
• Work with internal software engineering teams to help design software libraries that accelerate reusable machine learning
• Communicate results to broad range of external and internal constituents, from engineer to CEO
• Stay up to date with the latest in machine learning developments
• Collaborate across disciplines to deliver an amazing customer experience

REQUIREMENTS:

• PHD in Chemical Engineering, Mechanical Engineering, Applied Physics or Applied Chemistry.
• You have experience and are comfortable creating high fidelity simulations of physical processes, such as finite element modeling and computational fluid dynamics.
• You are excited about the power of machine learning to advance research and technology in your field of study, and have significant experience applying machine learning methods, potentially as part of the PhD research.
• You love engineering and you love the idea of applying those years of your learning to real world applications.
• You've written code to solve real problems in your research, your work or your life. You enjoy the process of creation through code.
• You have excellent and demonstrable written and verbal communication skills including the ability to create and deliver effective presentations.
• You have sincere empathy for the customer and a commitment to delving deep into the challenges they present or experience.
• You have a keen attention to detail, ability to multitask, and can work well under pressure.
• Your natural tendency is to be curious, positive, and creative.

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