30 окт

Data scientist

ориентир по рынку
вакансия зп не указана
в среднем 149 218 ₽
Загрузи резюме, чтобы видеть мэтчи с вакансиейЗагрузи резюме, чтобы видеть мэтч с вакой

подготовься к отклику

ai-инструменты

Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме

описание

zapy is a growing technology company focused on leveraging data-driven solutions to solve practical business challenges. The team values innovation, collaboration, and measurable impact, using modern tools and methodologies to turn complex information into actionable insights. Employees work in an environment that encourages continuous learning, experimentation, and professional growth.

задачи

  • collect, clean, and prepare structured and unstructured data from various sources for analysis
  • exploring datasets
  • building statistical and machine learning models
  • evaluating their performance to support product and business decisions
  • designing and implementing dashboards and visual reports
  • communicating findings to technical and non-technical stakeholders
  • collaborating with engineering and product teams to deploy data solutions
  • document methodologies
  • maintain reproducible workflows
  • contribute to ongoing improvement of analytics tools and processes

требования

  • Strong foundation in Data Science and Statistics, with the ability to design experiments, build models, and interpret quantitative results.
  • Proficiency in Data Analytics and Data Analysis, including data cleaning, feature engineering, and deriving actionable insights from complex datasets.
  • Experience with Data Visualization tools and techniques to create clear, informative dashboards and reports.
  • Hands-on experience with programming languages commonly used in data work (such as Python or R) and relevant libraries or frameworks.
  • Familiarity with SQL and basic database concepts;
  • Ability to communicate analytical findings clearly to diverse stakeholders and collaborate effectively in cross-functional teams.
  • Bachelor’s degree or higher in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering, Economics) or equivalent practical experience.
  • Будет плюсом: experience working with large or heterogeneous data sources; Experience with machine learning workflows, version control, and reproducible research practices

условия

  • Условий в вакансии нет

Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайся: это мошенничество.

Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайся: это мошенничество.