Chief Data Scientist

**Chief Data Scientist**

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.

**Description**:
The Chief Data Scientist will be responsible for helping customers perceive the full value of NI data platforms by leveraging advanced machine learning methods on top of NI’s data platform to solve customer’s specific requirements and use cases.

The Industrial domain (Semiconductors, electronics and automotive) is very challenging 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 is 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 everywhereContinuously 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 skillsSelf-motivated, driven by challenges

**Preferred Qualifications that Set You Apart**:

- Expertise in the semiconductor and/or electronics industriesExperience in generative AI especially in nonstandard domains like large datasets of tabular or waveforms data
- **Our Offer to You**:
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 flexible work from home policy allows you to make the best of your time, by combining quiet home office days with collaborative experiences in the office so that you can personalize your work-life mix.

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 contribute to communities around us.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, or national origin.