#вакансия #remotely #abroad #удаленка #DataScientist
Вакансия: Senior Data Scientist
Локация: Рассматриваются кандидаты за пределами России и Белоруссии
Занятость: Полная
График работы: Гибкий
Зарплата: $4000 – 4500 на руки
Для связи: https://t.me/Tary_bird, kivanova@braintch.com
Описание:
Ищем опытного Senior Data Scientist для участия в проекте крупного американского маркетингового агентства. Оформление в штат в Армении. Требуется владение английским не ниже уровня B2.
Responsibilities:
• Develop real-time prediction systems using geospatial machine learning algorithms.
• Mine and extract usable data from valuable sources.
• Advanced visualization of geo-temporal algorithms.
• Use machine learning tools to select features, create and optimize classifiers.
• Conduct preprocessing of structured and unstructured data.
• Enhance systems using LLM AI models.
• Improve data collection procedures for comprehensive analytic system development.
Key Skills:
• Programming: Knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Statistics: Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
• Machine Learning: Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
• Strong Math Skills: Understanding the fundamentals of Multivariable Calculus and Linear Algebra is important.
• Data Wrangling: Proficiency in handling imperfections in data.
• Data Visualization: Experience with tools like Matplotlib, ggplot, d3.js., Tableau for visually encoding data.
• Communication Skills: Ability to describe findings to both technical and non-technical audiences.
• Software Engineering Background: Strong background in software engineering.
• Hands-on Experience: With data science tools and a problem-solving aptitude.
• Analytical Mind: Strong analytical skills and great business sense.
• Degree: In Computer Science, Data Science, Mathematics, Statistics
Preferred Additional Skills:
• Experience with geospatial analysis and GIS.
• Knowledge of H3 hierarchical geospatial indexing or other geospatial indexes.
• Familiarity with open-source geographical datasets.
• Experience or familiarity with advertising technology concepts.
• Experience with artificial intelligence, especially with LLM and other generative technologies.
Вакансия: Senior Data Scientist
Локация: Рассматриваются кандидаты за пределами России и Белоруссии
Занятость: Полная
График работы: Гибкий
Зарплата: $4000 – 4500 на руки
Для связи: https://t.me/Tary_bird, kivanova@braintch.com
Описание:
Ищем опытного Senior Data Scientist для участия в проекте крупного американского маркетингового агентства. Оформление в штат в Армении. Требуется владение английским не ниже уровня B2.
Responsibilities:
• Develop real-time prediction systems using geospatial machine learning algorithms.
• Mine and extract usable data from valuable sources.
• Advanced visualization of geo-temporal algorithms.
• Use machine learning tools to select features, create and optimize classifiers.
• Conduct preprocessing of structured and unstructured data.
• Enhance systems using LLM AI models.
• Improve data collection procedures for comprehensive analytic system development.
Key Skills:
• Programming: Knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Statistics: Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
• Machine Learning: Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
• Strong Math Skills: Understanding the fundamentals of Multivariable Calculus and Linear Algebra is important.
• Data Wrangling: Proficiency in handling imperfections in data.
• Data Visualization: Experience with tools like Matplotlib, ggplot, d3.js., Tableau for visually encoding data.
• Communication Skills: Ability to describe findings to both technical and non-technical audiences.
• Software Engineering Background: Strong background in software engineering.
• Hands-on Experience: With data science tools and a problem-solving aptitude.
• Analytical Mind: Strong analytical skills and great business sense.
• Degree: In Computer Science, Data Science, Mathematics, Statistics
Preferred Additional Skills:
• Experience with geospatial analysis and GIS.
• Knowledge of H3 hierarchical geospatial indexing or other geospatial indexes.
• Familiarity with open-source geographical datasets.
• Experience or familiarity with advertising technology concepts.
• Experience with artificial intelligence, especially with LLM and other generative technologies.