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Master of Science degree in Computer Science, Engineering (Any Branch), Computer Applications/Applied Computer Science, Information Technology or Computer/Management Information Systems plus two (2) years of experience as QA Analyst, Test lead, Software Developer, Software Engineer, Systems Analyst, Computer Programmer or related position.
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As a Senior Product Scientist on the Product Science team, you will help lead strategic, data-driven decision making at Mailchimp. Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commensurate experience such as Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
$100,940 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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AWS, Python, SQL, Terraform, Airflow, Docker, Kafka, AI, Data Platform, Start-Up, Data Engineering, GenAI. You will build a search engine that lets AI pull from adequate sources, build entire retrieval system with trillions of rows of data that are automated constantly with Airflow.
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Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.
$120,000 a yearFull-timeExpandUpdated 20 days ago - UpvoteDownvoteShare Job
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PhD in economics, math, quantitative finance, computer science, data science or a related field. You have a MS in economics, math, quantitative finance, computer science, data science, or a related field.
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Major or minor of studies in a field of Quantitative Finance, Financial Engineering, or a related technical field that blends advanced quantitative methods with finance and economics is a plus.
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Work with the engineering team to optimize the thermal performance of servers using empirical data and bench test methods. The thermal engineer troubleshoots thermal and/or airflow issues in new and existing product lines using empirical data and commercial CFD software.
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University degree in computer science, mathematics, physics, engineering, or equivalent programming experience. Working as part of the data engineering team, you are an expert on data pipelining and big data processing frameworks, have experience with working with various backend technologies and have a detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Deployment, maintenance and improvement of software Data Visualization Specialist(Software Engineering - Tableau - Intermediate) Working proficiency in a portion of software engineering disciplines and demonstrates understanding of overall software skills including business analysis, development, testing.
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At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. Hudson River Trading (HRT) is seeking a lead software engineer with a specialization in performance engineering to optimize our high-performance and AI compute workloads.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Your subject matter expertise supports input for pharmaceutics, analytical sciences, validation science knowledge management, product robustness, analytics, process engineering, and technology enablement.
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Ph. D. degree (grad with in 3 months) in a quantitative discipline (e.g., artificial intelligence, computer science, applied mathematics, electrical engineering, or similar) The Data Science Analytics & Insights team within JJIM R&D develops innovative solutions using a variety of data sources across multiple different disease areas.
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data science computer engineering jobs Title: senior software in New York, NY
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