About this role
We are looking for a Data Scientist (f/m/d) to join our team at Innomotics.
The Industry-Leader of Motors and Drives
Innomotics is an industry-leading supplier of motors and large drive systems. With a trusted legacy of more than 150 years of engineering expertise, our products power all of the world’s most essential industries. Today, we are bringing the #EnergyTransition to life with a portfolio that enables our customers to boost energy efficiency, reduce greenhouse gases, and minimize the carbon footprints of plants.
Our Most Powerful Engine: Our People
We are a team of more than 15,000 dedicated experts, doers, innovators. For us, engineering the future means keeping businesses in motion. As a global player operating with the spirit and speed of a mid-sized company, the future holds unlimited opportunities for us. If you share our bold mindset to be best-in-class, we want you IN.
Your Future Role
As a Data Scientist, you will work in our Digital team as an individual contributor, building, testing and deploying models for Industrial AI applications, and contribute to technical innovation across the project lifecycle.
- Build, test and deploy machine learning models.
- Contribute to technical innovation and problem solving across the project lifecycle
- Collaborate with the product team on customer projects — planning, designing and delivering required work packages — while contributing to the development of our wider product.
- Help establish best practices and improve our internal processes.
- Contribute to the design and implementation of robust, maintainable and scalable machine learning systems.
Your Profile
- Graduate/Post Graduate in Computer Science or Applied Mathematics or equivalent, with 3–6 years of relevant experience
- Familiar with several ML techniques, combining theoretical ML knowledge with experience implementing different types of solutions
- Proficient in Python, including lists, dictionaries, sets, lambda functions, decorator functions, generators, memory allocation and sorting algorithms
- Good understanding of the ML ecosystem of tools and libraries supporting ML development (e.g. TensorFlow, PyTorch)
- Experience performing exploratory data analysis, with a background in statistics
- Prior experience with time series modelling and industrial or IoT data
- Experience in one or more of: systems dynamics modelling, model predictive control, reinforcement learning, system identification or Bayesian statistics
- Prior experience in Industrial AI or manufacturing domains, preferably cement, metals, oil & gas, thermodynamic process or heavy process industries
- Prior experience writing unit test cases
What’s IN it for you (Our Benefits)
- List country-specific perks & benefits
Ready to power the future with us? Join Innomotics and start making a difference now. #TeamInnomotics #JoinReliableMotion
Innomotics is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.
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