от компании (организации): NVIDIA в городе (населённом пункте): Москва, Россия
в отрасли экономики "Информационные технологии, интернет, телеком" → "Аналитик"
с заработной платой: по договоренности
Вакансия № 15561953 добавлена в базу данных сайта Работа в Москве и Московской области (МО, Подмосковье): Вторник, 17 сентября 2024 года.
Дата обновления вакансии № 15561953 на сайте Работа в Москве и Московской области (МО, Подмосковье): Понедельник, 23 сентября 2024 года.
Обращаем Ваше внимание, что на момент обращения к работодателю вакансия № 15561953 может быть уже занята. Администрация сайта Работа в Москве и Московской области (МО, Подмосковье) приносит извинения за доставленные неудобства.
Требования к опыту работы:
не требуется
Тип занятости:
полная занятость
График работы:
полный день
Дополнительные сведения о вакансии: Senior Data Science Engineer
Our team is growing to cover the needs of new projects running on the NVIDIA Data Platform. Our goal is to ingest, process, and report telemetry data from millions of client systems. Our data sources include traditional PC systems, mobile devices, and distributed Web services. A large portion of this work is driven by the emerging market of cloud gaming - have you already tried GeForce Now? Join us in building outstanding data models!
Our data collection processes allow us to capture a lot of records related to user system data, engagement stats, and user satisfaction. They lay the foundation for running various Data Analysis and Machine Learning projects using the collected data. Our roadmap includes analysis of QoS and of security breaches in the game streaming, user behavior profiling, user base segmentation, and campaign targeting, planning and execution of A/B experiments, smart personalized recommendations, etc. We’re looking for a hardworking, forward-thinking, and ambitious engineer to help us grow our solutions. Bring in your knowledge and your experience to deliver the power of Data to our users across the world.
What you'll be doing:
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We expect you to analyze the datasets, raise and validate hypotheses, extract meaningful features, and build models on top of them.
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Data science projects involve various types of tasks, ranging from network packets analysis to personalized recommendations, from fraud detection in e-commerce to A/B tests, outlier/noise detection, and much more.
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Optimize your algorithms and data structures to make them applicable to large datasets and cluster-based processing. Perfect the models and algorithms until they reach the desired power.
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Prepare documentation for the proposed approaches, policies, data formats, test cases, and the expected results within the scope of your projects.
What we need to see:
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Ability to write readable and maintainable code (primarily in Python/PySpark), knowledge of scientific libraries (Numpy, SciPy, Pandas, scikit-learn), 5+ years of industrial experience.
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Experience with extracting data from storage systems (e.g. Hive, Cassandra, S3) and understanding of how big data processing systems (e.g. Spark or Map/Reduce) work and help scale the processes.
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Experience in solving problems using machine learning techniques (statistics, clustering, classification, outlier analysis, etc.). Experience with Deep Learning is a plus. Strong background in dealing with time-series data and hypothesis validation is desired.
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Stress resistance, excellent teamwork, interpersonal, presentation, and reporting skills should be your strong sides. You are skilled and hungry for a self-education person with strong self-management skills. Be proactive in proposing innovative approaches, algorithms. Don't be scared of diving into scientific articles to come back with a fresh solution!
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Upper-intermediate oral and written technical English is required
Ways to stand out from the crowd:
- Knowledge of R or SPSS is an advantage.
- Love for PC/mobile gaming will help you in working with our data sets.
We are an AA/EEO/Disabled employer. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request the accommodation.
Откликнуться на эту вакансию: Senior Data Science Engineer
Предыдущая вакансия:
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