от компании (организации): GE (General Electric Company) в городе (населённом пункте): Москва, Россия
в отрасли экономики "Наука, образование" → "Информатика, информационные системы"
с заработной платой: по договоренности
Вакансия № 6976659 добавлена в базу данных сайта Работа в Москве и Московской области (МО, Подмосковье): Вторник, 22 октября 2024 года.
Дата обновления вакансии № 6976659 на сайте Работа в Москве и Московской области (МО, Подмосковье): Четверг, 14 ноября 2024 года.
Обращаем Ваше внимание, что на момент обращения к работодателю вакансия № 6976659 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:
полный день
Дополнительные сведения о вакансии: Data Scientist (Industrial Internet of Things)
Our company is working on the largest implementation project in the world of Industrial IoT based on Predix platform (see predix.io).
Our Predix-powered apps collect data from multiple sensors to create digital twins – digital replicas of physical assets. Digital twins today are used for industrial assets that generate a lot of data and are connected to the Industrial Internet or Industrial Internet of Things (IIoT). Our software solutions help improve efficiency, quality and operations management across factories and plants.
We are growing very fast and are looking for a Data Scientist.
Data Scientist is responsible for building predictive and descriptive models and solving data preprocessing tasks in the Oil & Gas domain (Upstream / Downstream).
Responsibilities
- Conducting complete data research and summarizing findings in the data;
- Formulating hypotheses and identifying issues to be addressed by the client (Oil & Gas - Upstream / Downstream);
- Perform data collection, preprocessing, feature engineering, data visualization and analysis.
- Build automation of data collection and preprocessing.
- Build models to address business problems.
- Design, develop, test and support predictive and descriptive analytical microservices to operationalize and productize deployment of resulting models
- Support the process of developing user-stories for model development;
- Support software engineers in developing and delivering models to the production environment (Cloud Foundry/Predix).
Must-have requirements:
- Bachelor’s Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math)
- A minimum of 2-year experience in solving business tasks with machine learning or deep learning methods
- Experience in preprocessing of raw data, time series
- Experience with preprocessing poorly documented data OR at least willingness to deal with it
- You treat each data science assignment as a mini research project which requires a clear-cut problem definition
- Fluent English to work with US team members
- Skills in Python for Data Science (scikit-learn, Pandas, NumPy, XGBoost, Spark, MLlib)
- Visualization (matplotlib, plotly, d3)
Additional requirements:
It’s nice if you know something about any of them, but it’s OK not to have skills in any of these below
- Background in the industrial area (Oil & Gas)
- Relational databases (PostgreSQL is preferred), NoSQL (Cassandra is preferred)
- Cloud technologies (Cloud Foundry, AWS)
- RESTful Microservice APIs
- Collaboration tools: Jira, Confluence, Rally
Откликнуться на эту вакансию: Data Scientist (Industrial Internet of Things)
Предыдущая вакансия:
Вакансия № 6976655 на должность Персональный тренер от компании ООО Аиликс-М в городе (населенном пункте) Москва