Chief Data Scientist - #2130763

Job Description

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:

• Collaborate with data scientists, machine learning engineers, developers, and sales to solve complex customer problems, and highlight opportunities on top of the NI Optimal+ solution using advanced machine learning methods
• Design & Develop AI models from research to production, create solutions across diverse use cases, from tabular ML to deep learning, computer vision, analysis, and generative AI
• Help design and implement robust and scalable machine learning life cycle support
• Be a pioneer by bringing AI into completely new use cases to help world leaders like Nvidia, Qualcomm, VW and GM improve their products quality and costs by leveraging AI everywhere
• Continuously learn and develop new skills as you participate and lead projects across a variety of use cases as well as AI methodologies, algorithms, and technologies.
  
  

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
  
  

The work is carried out in a hybrid system: 4 days per week in the office and 1 day per week of remote work is provided.

Our Culture & Commitment to You:

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.