We are looking for Junior Data Scientist.
Sagarmatha is looking for a Junior Data Scientist to take part in our data science and algorithm team. Our products use a combination of machine learning models (prediction, classification, clustering) and optimization algorithms in the area of retail and marketing.
This role will be responsible for maintaining and improving the machine learning models that are used in our personalization engine. He/She will work closely with the operations, product and development teams.
We provide personalization and analytics solutions for retailers around the world (N. America, Europe, Africa, Israel). We receive the loyalty data of millions of shoppers daily, and apply machine learning and optimization algorithms in order to extract insights and drive actions. Our product and our professional services allow retailers and suppliers to:
- Identify: analyze shopper behavior, categories and brands and find challenges and opportunities.
- Activate: Target each shopper with the right content, at the right time and through the right touchpoint.
- Analyze: Generate learnings from each retailer activity, shopper action, and customer response.
Our offices are located in Kfar-Saba.
- Ownership of current algorithms and models, including: monitoring, adding new features, testing and calibrating.
- Building new models: from research to design to POC to deployment of new models in order to support new features or better predictions.
- Work closely with the development, product and operations teams
- Report to head of data science
- B.A. /B.Sc. in Computer Science, Mathematics, Statistics or similar in a known university.
- M.Sc. – an advantage.
- Data science: 1-2 years of experience in machine learning algorithms in the areas of classification and prediction.
- Knowledge in Recommendation systems – an advantage
- Familiarity with the retail and marketing landscape – an advantage.
- Modeling languages: Python
- Medium + level of SQL
- Creative, Initiative, and a great person to work with!
If you fit this profile, please send your resume to email@example.com