Givat Brenner, Israel

Data Scientist

About Equinom

Equinom is a fully integrated food-tech company, combining agricultural know-how, sophisticated biochemical sensing,and deep technologies, including AI & computer vision methods, to develop delicious, nutritious, affordable, and sustainable non-GMO plant-based ingredients optimized for food from the ground up.

We are looking for a Data Scientist with a strong mathematical background, analytic approach, and experience developing and implementing machine learning-based algorithms, preferably for biological applications.     

What will you do?

You will build the core technology of Equinom and apply solutions that will enable prediction and a faster product cycle from grain to end-user application. You’ll apply your data expertise to our data modeling processes, such as ETLs, complex data analyses, and data enrichment. In addition, you will facilitate your knowledge in machine learning to train and deploy prediction models related to the different end-user products. You will build the core technology of Equinom and apply solutions that will enable predictive capabilities and accelerate the product cycle from grain to end-user application. You’ll apply your data expertise to our data modeling processes, such as ETLs, complex data analyses, and data enrichment. In addition, you will facilitate your knowledge in machine learning to train and deploy prediction models related to the differentend-user products.

What will you bring?

  • M.Sc. or Ph.D. Degree in Exact Sciences (Physics/Computer Sciences/Mathematics) or Electrical/Computer Engineering.
  • At least 3 years of algorithms development—with proven experience in machine learning and data processing in the industry.
  • Experience with ML Ops and related methodologies.
  • Strong programming capabilities (Python/SQL)and leveraging the AWS Data and Analytics stack.
  • Experience with biological datasets is a significant advantage.

And also:

  • Deep system understanding.
  • Strong research capabilities, problem-solving, and creative thinking skills.
  • Capable of working in a dynamic startup environment as part of the initial development team—a team player.
  • Able to integrate knowledge from different disciplines (data engineering and research)

Full-time job, office’s locations are in Givat Brenner, with openness for a hybrid work model.