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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. 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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Experience with TCL is a plus Knowledge in the digital design flows Strong communication skills, teamwork experience and a quick learner in a fast-moving environment PREFERRED ACADEMIC CREDENTIALS: Computer Architecture work experience PhD/MS in Electrical Engineering plus relevant experience.
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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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Bachelor's degree in computer science, Computer Information Systems, or Management Information Systems. Innovation, collaboration, and a commitment to excellence best describes the culture here at the Comptroller's Office.
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Top Texas Law Firm is currently hiring highly motivated Litigation Associate Attorneys with anannual salary of $120,000, plus a guaranteed commission after achieving performance goal. LITIGATION ASSOCIATE ATTORNEY $120,000 Plus Commission with Sign-On Bonus (Up to $25,000 for qualified applicants)LITIGATION ASSOCIATE ATTORNEY salary $120,000 plus guaranteed commission after achieving performance goal.
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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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Digital IC Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processing (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces.
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Bachelors Degree Required with majors in Biomedical Science, Computer Science, Mathematics, Engineering or business-related field preferred. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
$107,925 - $179,875 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Bachelors degree in information security, Computer Science, Management of Information Systems, or related field required. Develop a security architecture roadmap across Science 37 that will identify security controls and identify and assess technologies that will enforce the organizations security priorities.
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The Payment Model Implementation Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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Experience with AML based systems such as Actimize, Mantas, Norkom, FCRM or SAS. Maintaining a working knowledge (functional and operational) of the rules and regulations, including but not limited to BSA, USA PATRIOT Act and OFAC.
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15 or more years of experience with a Bachelor's Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience in computer science, computer engineering, mathematics, or equivalent field with a focus on artificial intelligence/machine learning.
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Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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5+ years of experience working with BI tools such as SAS, Tableau, Python, R, or other analytics software. The Transaction Risk Interdiction & Detection (TRIAD) is a department within the Financial Crimes Risk Management Enterprise.
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computer science a plus sas r jobs in Austin, Columbia, Missouri
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