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 Culture & Values and about Diversity, Equity, & Inclusion at Emerson .

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!