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Reface is the #1 face-swap app worldwide. It recently hit 50M installs and keeps growing. It was used by Snoop Dogg, Miley Cyrus, Britney Spears, Justin Bieber, and probably a bunch of your friends. We ranked #1 on the US App Store and hit the top charts in 100+ countries.
12 октября 2020

Data Scientist (вакансия неактивна)

Киев

Необходимые навыки

Specialized knowledge:
● Understanding theoretical concepts of statistics/probability, data mining, machine learning.
● Understanding how these theoretical concepts could be applied to real-world problems.
● Knowledge and hands-on experience with Python or other relevant programming languages.
● Knowledge and hands-on experience with any recommender engine tools or frameworks.
● Knowledge and hands-on experience with any visualization tools or frameworks.
● Understanding the developing process of data science projects: CRISP-DM or others.

Skills and abilities:
● Strong English verbal and written communication skills.
● Ability to work independently with limited supervision.

Experience:
● Track record in data analysis, data science, machine learning.
● Relevant levels of theoretical knowledge in statistics/probability, data mining, and machine learning.

Обязанности

● Collecting, transforming, and preprocessing raw data to prepare it for analysis.
● Deriving descriptive statistics out of the preprocessed data.
● Building statistical and probabilistic models.
● Creating visualizations and analytics reports in the form of dashboards.
● Designing, developing, training, and testing data mining, statistical, probabilistic models, and algorithms.
● Providing comparative research on different algorithms and models.
● Implementing the model in a form that can be easily used by engineers, documenting its interfaces.
● Delivering the model in a form that can be easily deployable and maintained.

О проекте

Based on collected data and product usage statistics, candidates are able to create models that affect the improvement of the product metrics. Exploratory data analysis, building recommender engines, statistical models, etc.

Горячие вакансии

Все вакансии