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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). The North America PRS (Personal Risk Services) Data Science team at Chubb is seeking a data scientist with 4+ years of industry experience to join our fast-paced, high-energy team.
$101,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Perform hands-on big data analysis and modeling to develop insights that increase advertiser monetization and merchandise sales without compromising shopper experience. We look at mega size data from both retail and advertising space, and coming up with ML and DL based science solutions through multiple products.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. 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.
$267,900 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Graduate degrees in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering are preferred. Chubb's North America Property and Casualty Data Analytics Division is currently seeking an experienced Senior Data Scientist with 5+ years of industry experience to join our fast-paced, high-energy team.
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Hands on experience in data engineering, working with big data framework like Spark/Hadoop. 4+ years hands-on data science experience. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
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Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc. Experience with mainstream big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.
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We are looking for an Applied Data Scientist for customer-facing projects that combine data science with deep knowledge and understanding of machine learning and big data technologies to create solutions for customers' challenges and needs, defining and developing appropriate technical and business solutions.
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Hands-on development experience working with version control systems (we use Git) and Big Data and Cloud platforms (Hadoop, Spark, Amazon Web Services (AWS), Google Cloud (GCP.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
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