от компании (организации): Sensoleak LTD в городе (населённом пункте): Москва, Россия
в отрасли экономики "Наука, образование" → "Информатика, информационные системы"
с заработной платой: по договоренности
Вакансия № 14246392 добавлена в базу данных сайта Работа в Москве и Московской области (МО, Подмосковье): Пятница, 6 сентября 2024 года.
Дата обновления вакансии № 14246392 на сайте Работа в Москве и Московской области (МО, Подмосковье): Суббота, 21 сентября 2024 года.
Обращаем Ваше внимание, что на момент обращения к работодателю вакансия № 14246392 может быть уже занята. Администрация сайта Работа в Москве и Московской области (МО, Подмосковье) приносит извинения за доставленные неудобства.
Требования к опыту работы:
3–6 лет
Тип занятости:
полная занятость
График работы:
удаленная работа
Дополнительные сведения о вакансии: Data Scientist / Engineer (Machine Learning / Analytics / Statistics)
An American R&D startup is seeking for talented researchers. We have a great international team of scientists spread around the globe, with Russian-speaking engineers and administrative staff.
When submitting your application, please tell us in several plain words why you think you are qualified for this job. It's a good idea to do this by summarizing your previous experience relevant to this role.
Also, please provide your hourly rate or expected salary range, along with the amount of time you will be ready to dedicate to the project(s).
Interview will be done by Skype, so please include your SkypeID and provide 2-3 dates you will be available for a talk.
Responsibilities:
- Formation of the architecture for solving clients’ problems in the context of big data analysis, selection of appropriate model quality metrics;
- Full-cycle development of data-driven predictive model pipelines, from fast data analysis to production-ready implementation;
- Data analysis in oil-&-gas, chemical and related industries using machine learning methods –structuring, filtering (removing outliers, smoothing, dimensionality reduction, etc.), supervised and unsupervised model training and prediction;
- Visualization and presentation of results.
Requirements:
- Degree in a quantitative discipline (Applied Math, Statistics, Computer Science, Physics, Engineering and the like);
- At least 5 years of experience in conducting research, applying data analytics and developing commercial solutions to engineering problems;
- Deep understanding of statistical concepts, including multivariate methods, regression, classification, neutral networks, Bayesian logic;
- Advanced knowledge of scripting language programming (Python preferred, with the standard stack of Pandas, Numpy, Scipy, Scikit-Learn, etc.);
- Experience in industrial equipment is a large plus (hydraulic systems, heating systems, rotating machinery, etc.);
- Experience of work with databases is a plus;
- Experience of work with deep learning frameworks (Keras, PyTorch, TensorFlow) is a plus;
- Experience in fluid dynamics modeling and advanced time series analysis methods is a plus;
- Solid technical and analytical skills;
- Ability to work independently and in collaboration with members of other groups, including data scientists, engineers, software developers, and clients;
- Technical English.
Terms:
- Remote work;
- Competitive salary;
- Flexible working conditions.
Откликнуться на эту вакансию: Data Scientist / Engineer (Machine Learning / Analytics / Statistics)
Предыдущая вакансия:
Вакансия № 14246381 на должность Куратор отделения (Проспект Мира) от компании ЧУ ДО Московская школа программистов в городе (населенном пункте) Москва