Job description
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’s andGoogle 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 Senior Data Scientist to join our Data Science team! As a data scientist, you will work with our marketing and finance leadership, to predict our growth, identify trends and help us optimize the impact of our marketing budget spend. This is an exciting opportunity to make an impact!

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.

Responsibilities
Lead machine learning based projects from business requirements, through research, evaluation, production implementation and monitoring.
Work on extremely diverse problems and domains, and work with several stakeholders on a daily basis including finance and marketing managers, developers, BI analysts and more.
Build ML and statistical models based on historical revenue streams and usage data to predict different KPIs. For example, LTV, campaign’s ROI, user’s attribution and more.
Design and analysis of AB tests.
Requirements
3+ years of experience as a data scientist in the industry, experience from b2c companies is a plus.
Deep understanding of classical ML & DL algos for a wide spectrum of problems and domains.

MSc or PhD in Computer Science, Data Science, Statistics or a related field.
Proven hands-on experience developing and researching algorithms in various fields and data science/machine learning techniques such as: boosting algorithms, time series models, clustering and anomaly detection methods, and more.
Proven experience in taking projects through all the stages of a new ML model, from data analysis and labeling to prototyping, implementation in a production environment, and monitoring and maintenance. Delivery oriented.
Proficiency with Python and SQL.