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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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The team brings together a good mix of capabilities in intelligence technology, quantitative modeling, data science, financial engineering, and software engineering.
$100,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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As a Data Science Intern, you will work closely with our team to develop report generation services for our backend and enable troubleshooting of issues in near real-time. Job Description: We are seeking a highly motivated and detail-oriented Data Science Intern to join our team.
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An advanced degree in a quantitative field, such as statistics, econometrics, finance, mathematics, computer science, data science, engineering, business. This role also requires candidate to have the capability in building effective relationship with stakeholders from various teams such as data, privacy, legal, security, data science, engineering, product, compliance, audit.
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Director, Software Engineering. We're a customer-centric group that encompasses engineering, product, product design and data, security and business systems. You will partner with world-class developers, engineers, architects, and data scientists to drive thinking, provide technical leadership, and collaborate in defining best practices around data engineering.
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A degree in engineering, computer science, engineering technology, or a related field may be substituted per LCRA guidelines for certain years of experience. - Expert knowledge of next-generation technology solutions including Cloud, DWDM, broadband, Terabit data networking, MPLS, Software Defined Networking, p-LTE Transport design.
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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. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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2+ years of experience utilizing Data Engineering/Cloud tools including GCP, Databricks or Snowflake. Bachelors Degree Required with majors in Biomedical Science, Computer Science, Mathematics, Engineering or business-related field preferred.
$107,925 - $179,875 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Opportunities are available to participate in teams by contributing to software development, design, and testing, along with data science efforts in data preparation/conditioning, data modeling/analysis, data visualization, and data validation.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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Data Science Analyst (Senior) | 6-8 Years | Data Science - Python, Data Modeling. Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley.
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software engineering data science jobs Title: associate in Texas
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