ryze is a digital marketing company to streamline the consumer decision-making process, and connecting customers with industry-leading brands. The networks we create help shoppers make smarter decisions about the products they want to buy.

We are seeking a highly motivated, experienced, passionate Senior Data Scientist to join and lead our team. You’ll have an opportunity to research, design, implement, and evaluate a variety of advanced ML algorithms using the latest technology.

As a data scientist you’ll:

• Take on projects end-to-end from business questions all the way to production
• Apply cutting-edge solutions while leveraging our expected vast amounts of data
• Develop online and scalable models and tools using machine learning and NLP techniques
• Work alongside Data Scientist, big data engineers, product managers, and developers from across the organization to solve complex problems
• Contribute to continuous learning and knowledge sharing within the data science group, in order to stay ahead of the curve
• Lead innovation initiatives and stay in tune with the latest technologies and algorithms

requirements:

• BSc or higher in a quantitative field (math, statistics, computer science, Data Science, etc.).
• At least 5 years of experience as a data scientist
• Experience solving complex business problems using state of the art algorithms
• Strong knowledge of Python and SQL (& ML packages)
• Solid background in algorithms, data structures, and programming.
• Good understanding of probability and statistics.
• Experience in leading data science projects from idea to production in various domains and using various ML solutions.
• Ability to mentor others, work in teams, teach and learn from peers
• Independent, out of the box thinker.
• Experience with working with ML frameworks (e.g., DataBricks, Sagemaker)

advantages:

• Experience managing or leading a DS team, preferably in a startup environment.
• Experience in ad-tech, specifically in Ad-tech DS (RTB, customer recommendation system, personalisation, etc.).
• Experience working on an applied recommendations system solution
• Experience in NLP and deep learning techniques
• Experience with big-data frameworks (e.g. Spark)