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Experience with big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will use cutting edge data engineering techniques to create critical datasets and dig into our mammoth scale of data to help unleash the power of data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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PhD in Engineering (e.g. Computer Science, Data Science, Information/Data Management, Math, Statistics, Information Theory, etc) or related field. Data Storage technology (SSD, HDD, etc.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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5+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms. The Data Science team collects and relies on big data from existing stores and customer interactions at the 2300 nationwide stores and beyond.
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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. The successful candidate will gain an understanding of the data science techniques to power TikTok monetization and drive meaningful improvements in ads targeting and ranking models.
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Solid experience in big data engineering, with knowledge of Hadoop, Apache Spark, Python, and SQL. Apply your data engineering skills with Hadoop, Spark, and Scala. Job Description As a Senior Data Scientist, you'll join our Value-Added Services – Digital Marketing & Engagement organization.
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The Social Science Research Professional 1 role and responsibilities will include overseeing project administration and compliance with regulatory requirements, communicating with potential and enrolled research participants, collecting and managing data, and assisting with data analysis.
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The Stanford Center for Biomedical Ethics (SCBE) is seeking a Social Science Research Professional 1 to contribute to our work on multiple federally-funded projects focused on ethical, legal and social issues in genetics and genomics.
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Job DescriptionThe Research Engineer will diagnose and hypothesize aging mechanisms in polymer electrolyte membrane electrolysis cells based on available experimental data. Autonomy, attention to detail, flexibility, creativity, excellent communication, and teamwork skillsAdditional InformationBOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives:FIRST Robotics (For Inspiration and Recognition of Science and Technology)AWIM (A World In Motion)By choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL, Databricks Spark, and AWS ‘big data’ technologies.
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Big Data Technologies: Expertise in big data technologies like Hadoop, Apache Spark, Apache Hive, or similar frameworks is crucial for efficiently processing and analyzing massive volumes of data.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Applying synthetic biology, genomics, bioinformatics, data science, and fermentation, we harness the most beneficial molecules from plants to create active pharmaceutical ingredients in more controlled and economical ways.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Leveraging cutting-edge data science techniques, you will play a pivotal role in driving innovation and delivering impactful solutions in the rapidly evolving streaming media industry.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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data science big jobs Company: Ebay in Palo Alto, CA
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Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
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For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.
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Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.