Chief Data Scientist

Description

Chief Data Scientist

Job Description

NIs (Emerson subsidiary) Optimal platform is playing in the field of Industrial IoT and is the only Big Data analytics platform that provides an endtoend 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 :

As part of the company AI roadmap the Chief Data Scientist will be responsible for evaluating different ML frameworks algorithms methodologies and tools build generic machine learning applications (from use case initiation to actual deployment) and initiate improvements of internal and external (customers) methods and practices.

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 NIs data platform to solve customers 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 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 cando attitude to every project consistently driving results.

Youre committed to learning and mastering new areas and are motivated to take ownership and make things happen.

For This Role You Will Need :

Preferred Qualifications that Set You Apart :

Our Offer to You :

We understand the importance of worklife 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 worklife 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.

Required Experience :

Chief

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1