Напиши текст вакансии для должности "Data Scientist". Название компании: "Borzo". Расположение: Москва. График работы: Удаленная работа. Опыт работы: От 1 года до 3 лет. Ключевые навыки: 'SQL', 'Python', 'algorithms', 'Data structures'

Borzo (former Dostavista Global) - one of the fastest growing and most technologically advanced players in the global same-day intracity delivery market, operating in 10 countries: India, Brazil, Mexico, Turkey, Russia, Vietnam, Philippines, Indonesia, Malaysia, South Korea. We deliver unparalleled convenience to businesses and people, all the while creating millions of self-managed courier jobs. Our mission is to empower entrepreneurs and their brands with the same quality of logistics as available to giants. That&#39;s why our focus is on serving businesses by offering them state-of-the-art intra-city same-day delivery options. Our couriers, like modern taxi drivers, work via mobile apps on their own schedule. Over one million students, security guards, waiters, retirees, etc. use Dostavista to make a living or supplement their income. In 2020, our crowdsourced couriers delivered 20 million packages. In order to keep pace, we are constantly looking for ambitious professionals to join our team. Right now we are looking for a Data Scientist to join our Marketplace Efficiency group. We are looking for specialists with knowledge of python, algorithms and machine learning to help us improve the way we solve challenging same-day mobility problems. As part of a marketplace efficiency group you will work with data and algorithms to develop systems that assign orders to couriers, create efficient routes and affect supply/demand balance in cities around the globe. What you will do:   Design, prototype and support development of decision-making systems for logistics and supply/demand management; Analyze logistical systems&#39; performance and effect from changes to find areas of improvement.  What you already have:   Programming experience with Python; Proficiency with SQL and databases; Knowledge of algorithms and data structures; Knowledge of mathematical statistics and probability theory; Written English;  Ways to stand out:   Experience with A/B-testing; Knowledge of machine learning algorithms;  What do we offer:   Ability to work remotely (both partially and completely); Equipment for work: laptop, additional monitor, headset, and so on; Flexible schedule: we work at a convenient time, the main thing is to be in touch during the main working hours; Horizontal structure without strict subordination and bureaucracy; Official employment and salary; The annual indexation of salaries and the feedback from the head; Education: own library, paid courses and conferences.