Основно

Sr. Data Scientist

San Jose, United States Компания: Qreer
Публикувано: 18.05.2026
Крайна дата на закриване: 02.07.2026
Препоръка за работа: 9cf49e8ff7e0cb905239fc1aa13d602f

Информация за работата

Местоположение
San Jose, United States
Компания
Qreer
Препоръка за работа
9cf49e8ff7e0cb905239fc1aa13d602f
Тип на списък
Основно
Изисква се разрешително за работа в ЕС
Не
Публикувано
18.05.2026
Крайна дата на закриване
02.07.2026

Описание на длъжността

ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchipIntroductionASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler Arizona, San Jose and San Diego California, Wilton Connecticut, and Hillsboro Oregon.Job Mission Data Science Organization at ASML-Brion is looking for an experienced Data Scientist who has a passion to build data products and data systems. The Data Science team began to make the most use of vast data acquired from our hardware and software products from 2014. As our vision expands, the opportunity to make important contributions to the company and to our customers through data analytics is also expanding. We seek a Principal Data Scientist with practical experience in exploring big data opportunity at ASML-Brion. As a Principal Data Scientist, you will be responsible for utilizing disparate data sources in novel ways, with the aim of generating actionable insights. The insights can create new offerings or improve the capabilities, performance and efficiency of existing products and services throughout the company. Job DescriptionYou will work closely with individual team leads to formulate problem statements and work through the lifecycle of delivering these insights to production. You will design and organize large and complex data sets from varied sources while thinking strategically about uses of data and issues such as scalability. You will deliver mathematical and statistical models with proven predictive power. Key Responsibilities / Performance Requirements:Understand existing business flow and product features, dive into the underlying data, apply relevant Data Mining techniques and/or Machine Learning algorithms and propose data analytic product to improve the product intelligence implement the applicable Machine Learning or statistics-based algorithm for prediction and optimization and deliver the trained model to production design, build and support algorithms of data transformation, conversion, computation on Hadoop and other distributed Big Data SystemsContext of the positionThis position primarily works in an office environment. It requires frequent sitting, standing and walking. Daily use of a computer is required. May stand for extended periods when facilitating meetings. The physical demands of the position described herein are essential functions of the job and employees must be able to successfully perform these tasks for extended periods. Reasonable accommodations may be made for those individuals with real or perceived disabilities to perform the essential functions of the job described.

Умения

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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