Lightricks is a pioneer in creativity tools that inspire people to craft visual content and share the world through their eyes with friends, family and followers. Our suite of content creation apps has over 500 million downloads worldwide and won numerous prestigious awards — including Apple's App of the Year, the Apple Design Award and both Apple and Google Play’s Best of the Year. Lightricks is a data driven company, and thus the Data science group has a big impact on decision making. 

We’re looking for a talented Data Scientist to join our group! You will work with some of the greatest minds in product on our award-winning apps and help them increase the app performance through data products, such as personalized app journeys, and finding meaningful insights and actions for better decision making. 

Using Machine Learning and Statistical tools, you will build predictive and explanatory models to personalize the users’ journey in the app, find some treasures and needle moving insights in our data, be involved in decision making of apps and affect millions of users. 

We are looking for someone who is not afraid of diving into new areas and challenges, thinks outside the box, that knows how to take a business challenge and turn it into a machine learning challenge, and vice versa. If you ever worked with a product - that’s even better!

• Work with several stakeholders on a daily basis including Product Manager, Product Marketing Manager, developers, ML engineers, BI analysts and more.
• Build data products using ML and statistical models that will run in the app and provide a better experience for the users. 
• Design a roadmap for apps from a data science perspective, that raises insights and action items for the product team.
• Understand our users through the data and find potential growth opportunities.
• Develop causal inference models to analyze and better approach our users.

• 4+ years of experience as a data scientist in the industry, 2+ years of experience in end-to-end ML projects, from POC to production.
• Hands-on experience with Python and relevant data science packages.  
• Proficiency in SQL (BigQuery, Redash).  Knowledge in Verix AI - a plus.
• High communication skills, ability to clearly formulate problems, approaches to solutions, and results.
• Knowledge and experience in ML tools and Statistical models.
• Advanced degree in Math, Statistics, Economics, Computer Science, Physics, or other quantitative fields.
• Experience with Deep Learning architectures and tools (TensorFlow, Keras, and/or PyTorch) - a plus.
• Working as a data scientist in product - a plus.