β At least 3 years of extensive data engineering experience with the use of Python (ETL, Scraping, Algorithms). β Practical experience in the development of predictive models is essential (time series, decision-making trees, neural networks). β Experience in solving complex tasks related to user sensitivity (price sensitivity in particular) will be a great plus. β Models optimization and feature engineering skills will be a must. β Database Management Systems: PostgreSQL. β Linux. AWS.
As a plus
β Exceptional problem-solving and acceptable communication skills. β Knowledge of English is a plus.
We offer
β An early-stage company experiencing, sustained growth across the CIS and European markets. β Development of expertise in machine learning in a highly qualified team. β Competitive salary.
Responsibilities
β Improve existing models (sales prediction, etc.). β Develop new models, systems, architectures. β Perform code refactoring and optimization. β Document and test code.
Project description
Weβre a growth stage start-up with a unique SaaS product. We have been selected to Startup Wise Guys CEE leading acceleration program. Our product is predictive analytics that helps concert and sport event promoters to execute demand-driven pricing.
We have recently been nominated in the top 20 startups of Ukraine focus.ua/...βpy-ukrainy-rejting-fokusa.
We look for a talented, disciplined and experienced professional with clear previous achievements and a strong commitment to building industry impactful products. (IMPORTANT) The candidate ideally has a strong data engineering background and passion to develop machine learning expertise.
About ticketsell
Weβre a growth stage company with a unique SaaS product. Our product is predictive analytics that helps concert and sport event promoters to execute the demand-driven pricing. Our mission is to help promoters to sell and price tickets based on demand in the most effective way so that the last ticket is sold 1 minute before the show.