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Principal Data Scientist

Ms. Nataliia Verbylo
Dresden (hybrid)
Advanced
Flexible working hours
🇩🇪 A1/A2
🇬🇧 C1

Please apply here on „ITsax.de“ with the „Apply Now“ link/button at the top right.

Note: Please apply exclusively via our direct application link hosted by Empfehlungsbund and ITsax.de: https://en.itsax.de/jobs/280187/principal-data-scientist-in-dresden?locale=en. We are looking forward to meet you!

NI’s (Emerson subsidiary) Optimal+ platform is playing in the field of Industrial IoT and is the only Big Data analytics platform that provides an end-to-end product analytics solution for automotive, semiconductors and electronics companies. 

The data science group is led from the Israel R&D site. This group is responsible for both customer engagement and company level machine learning strategy, infrastructure, and roadmap. As leaders in the field, we have an important role in bringing the full AI potential to manufacturing. We are working closely with our customers delivering the right platform for machine learning together with the right solutions, infrastructures, and methodologies to handle the full life cycle of machine learning in production!
 

As part of the company AI roadmap, the principal Data Scientist will be responsible for evaluating different ML frameworks, algorithms, methodologies, and tools. Builds generic machine learning applications (from use case initiation to actual deployment) and initiate improvements of internal and external (customers) methods and practices. The Industrial domain (semiconductors, electronics and automotive) is very exciting as it comes to machine learning implementation and deployment due to the high cost of escapes/model inaccuracy, business workflow complexity, IT restrictions and regulation.

If you are very skilled in ML, motivated by challenges and want to take a leading part in bringing the AI revolution to Industrial IoT – this may be the right position for you!

 

In this Role, Your Responsibilities Will Be: 

  • Bachelor’s degree in computer science, Data Science, or related field; M.Sc. or PhD preferred.
  • 5+ years of experience in AI/ML/DL or related field of delivering solutions to production
  • Expertise in Python and libraries for ML & data i.e., Pandas, NumPy, Scikit-Learn, Pytorch
  • In depth knowledge of machine learning techniques, deep learning, and statistical methods
  • Customer facing and presentation skills
  •  Self-motivated, driven by challenges
     

Who You Are:

You thrive on challenges and bring a proactive, “can-do” attitude to every project, consistently driving results. You’re committed to learning and mastering new areas and are motivated to take ownership and make things happen.

For This Role, You Will Need:

  • Bachelor’s degree in computer science, Data Science, or related field; M.Sc. or PhD preferred.
  • 5+ years of experience in AI/ML/DL or related field of delivering solutions to production
  • Expertise in Python and libraries for ML & data i.e., Pandas, NumPy, Scikit-Learn, Pytorch 
  • In depth knowledge of machine learning techniques, deep learning, and statistical methods
  • Customer facing and presentation skills 
  • Self-motivated, driven by challenges

Preferred Qualifications that Set You Apart:

  • Expertise in the semiconductor and/or electronics industries
  • Experience in generative AI especially in nonstandard domains like large datasets of tabular or waveforms data

 

Our Offer To You:

At Emerson, we are committed to fostering a culture where every employee is valued and respected for their unique experiences and perspectives. We believe a diverse and inclusive work environment chips in to the rich exchange of ideas and diversity of thoughts, that inspire innovation and brings the best solutions to our customers. We’re emphasizing a culture of togetherness – one that builds community, prioritizes collaboration and continuous improvement. 

The philosophy is fundamental to living our company’s values and our responsibility to leave the world in a better place. Learn more about our  hier  and about  hier .

Moreover, our global volunteer employee resource groups will empower you to connect with peers that share the same interest, promote diversity and inclusion and positively give to communities around us.

We understand the importance of work-life balance and are dedicated to supporting our employees' personal and professional needs. From competitive benefits plans and comprehensive medical care to equitable opportunities for growth and development we strive to create a workplace that is supportive and rewarding. Our work schedule aims at creating new levels of growth, build a stronger community and provide greater professional development for our employees.

Make this great opportunity yours! 

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Your personal information

Apply now to National Instruments Dresden GmbH as Principal Data Scientist.

Please check whether you meet these basic requirements:

  • Work permit required in Germany or Schengen/EU
  • At least basic knowledge (A1/A2) in German language required
  • At least business fluent (C1) in English language required
  • Place of work must be accessible: Dresden
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Python, Data Science, ML, NumPy, pandas, Pytorch, AI, Deep Learning, Englisch, DevOPS, ITsax.de, Empfehlungsbund

This Job resp. positions as 'Principal Data Scientist' is vacant in following addresses: 01099 Dresden in Sachsen.

Short profile of National Instruments Dresden GmbH

National Instruments (NI) is a pioneer in the field of technologies of measurement and automation technology and equips engineers and scientists with systems that accelerate productivity, innovation, and discovery.

NI Dresden is the R&D Center in the field of wireless communications, with a special focus on development of software and hardware that is used both, for testing and for measurement of 5G communications systems.

In other words: NI Dresden is actively shaping the future of wireless communication.

Mit Hilfe der Communitys des Empfehlungsbundes gewinnen wir motivierte und interessierte Bewerber für die National Instruments Dresden GmbH, wo Engagement und Mitgestaltung möglich ist. Die Bereitschaft der Bewerber sehen wir an den vielen guten Bewerbungen, die wir über die Community erhalten.

Ms. Nataliia Verbylo

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