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Experience with big data and machine learning or data science. - PhD in Economics, Computer Science, or highly related field (Statistics, Finance, Math) You will partner with science and technology teams across Amazon including Advertising, Supply Chain, Operations, Prime, Consumer Pricing, and Finance.
$150ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We are looking for a Senior Data Science Engineer with strong exposure to big data; out of box thinking coupled experience to drive data analytics, data modeling, and enhance tools / data infrastructure.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Center 2 (19050), United States of America, McLean, VirginiaManager, Data Science - Consumer Identity Machine Learning.
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In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.
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Proficiency in SQL and familiarity with big data technologies such as Hive, Presto, Glue, (Py)Spark, or Athena. Bachelor's or Masters degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent practical experience.
$250Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in a technical field e.g. Machine learning, Deep Learning, Data Science, Computer Vision, Cloud Computing, and Big Data Technologies. Experience in a technical field e.g. Machine learning, Deep Learning, Data Science, Computer Vision, Cloud Computing, and Big Data Technologies.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You’ll be working closely with product, data science and design partners to devise a strategy that brings the most advanced capabilities that LLMs and other ML technologies have to offer our customers.
$200,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with deploying models to production and building ML pipelines (Docker, CI/CD/CT) Experience with Time Series and NLP problems Solid Knowledge of Supervised and Unsupervised Machine Learning Models Knowledge of Feature Engineering, Data Wrangling/Cleaning Knowledge of Jupyter notebooks and big data environments/training (Spark, Hadoop, etc.
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Knowledge of cloud big data platforms, ML platforms and data science. Real-time Customer Data Platform (RT-CDP) represents a new generation of Adobe innovation aimed to help enterprises manage petabytes of data; and deploy this data towards creating exceptional customer experiences for use cases ranging from customer acquisition to engagement to loyalty and beyond.
$97,600 - $189,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Bioinformatics, computational biology, Data Science, Machine Learning, LIMS, Software Engineering, Genomics, Artificial Intelligence, NGS, Deep Learning, NLP, Life Sciences, Biotechnology, Personalized Medicine, Diversity, Equity and Inclusion Recruiting, and DEIB services.
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Some Python development experience, including statistical analysis and data science tools. You’ll work side-by-side with a friendly but driven team of mechanical, electrical, software, and firmware engineers and data scientists that have built technologies from satellites to novel batteries and ultra-precise cooking devices to secure OS’s and industrial-scale logistics software.
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5+ years of experience in engineering data solutions using big data technologies (Hive, Presto, Spark, Flink) on large-scale data sets. Experience implementing and scaling production cloud systems for data-intensive applications such as automated ETL, streaming and batch workloads.
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Experience building large scale data sets in AWS, Hadoop or similar big data environments. Using your affinity for synthesizing and visualizing data, domain expertise, data mining and communication skills, you’ll ensure we’re building the best product for our current and future Pinners.
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You’ll work closely with partners across design, engineering, data science, research, customer experience and product marketing, as well as external partners. You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
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big data science jobs in San Francisco, KS, Arizona
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