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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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BS/MS in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, or other STEM disciplines) Experience with big data platforms (AWS, GCP, Azure, Databricks) and distributed computing frameworks.
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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. Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP.
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Master's degree or PhD in Data Science, Machine Learning, AI, Computer Science, Statistics, Mathematics, or a related field. Experience with big data technologies such as Spark and TensorFlow is a plus.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Advanced degree (MSc/PhD) in Computer Science, Economics, Engineering, Operations Research, Physics or Mathematics/Statistics preferred. You will be impacting every aspect of the business and it will require various techniques, from diving deep into data with SQL and Big Data tools, all the way to deploying modern machine learning models.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Experienced professional with 10-12 years of experience as ML architect or engineer, lead data scientist/analyst for machine learning in Big Data ecosystem i.e., Hadoop, Spark, HBase, Hive / Impala or any similar distributed computing technology as well as public cloud platform & systems.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Requirements: Master’s degree (or foreign equivalent) in Data Science/Engineering, Analytics, Mathematics, Operations Research, Industrial Engineering, or a related field and one (1) year of experience in the job offered or related occupation.
$108,306 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau.
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A formal background and proven experience in mathematics, logic, statistics and computer science, particularly within the financial services sector. Hunter&Talent has been retained by global Investment Bank located in New York to help identify a Data Scientist from a semantic data modeling background.
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The Associate Commercial Data Scientist will be expected to interpret and tune machine learning algorithms, work in big data environments, apply statistical methods to develop robust solutions to client problems, have strong communication skills to communicate project findings to both internal and external stakeholders, and participate in client meetings.
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