MSD Animal Health Intelligence Technology Labs
  • 16 active jobs (view)

  • Published: November 4, 2021
Job Type
Level of education
Level of Hebrew
Location of job
How many relevant years experience do you require for the role:
3 years


Our Company is where we transform vision into reality. It's where ideas become technologies, and cutting-edge technologies become solutions for animal care and management.

We support farmers by providing real-time actionable information to help them manage their herds. It provides pet owners with smart devices and data that give them a better understanding of their pets’ activity and health needs, enriching relationships. It helps conservationists safeguard natural environments and wildlife.

Leveraging decades of Technological Research & Development experience across many markets, technologies and species, along with development environments and Quality Assurance procedures, we're always inventing new ways to look after the health and well-being of animals. Our decades of experience keep us ahead of the curve by leveraging advanced Technological Solutions from enhancing the precious bond between people and their pets, to advancing animal healthcare and wildlife preservation.

Being a world-leading group in animal intelligence, we are looking for a data scientist that will help us to discover insights from the vast amounts of data our systems collect. In this role, you will utilize data mining techniques, do statistical analysis, and build prediction models for the purpose of surfacing insights related to livestock and companion animal behavior.

You will also integrate those algorithms into our cloud production environment. Python developer that wants or is in the process of making the transition into the data science world. This job includes both theoretical research and python implementation.


• B.Sc. or higher in computer science or engineering
• Theoretical knowledge of Data Science, hands-on experience is an advantage
• 3 years of experience as a Python developer
• Statistics skills, such as distributions, statistical testing, regression, etc.
• Theoretical knowledge of Collaborative Filtering, k-Means, Spectral clustering
• Linear-Algebra - a must (LS, PCA, SVD)
• Experience in SQL
• Self-learner
• Team player

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