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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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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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Bachelor's degree in Human-Computer Interaction, Cognitive Science, Design, Experimental Psychology, Anthropology, Information Science or a related field. PREFERRED QUALIFICATIONS- MA/MS in Experimental Psychology, Cognitive Psychology, Social Psychology, Human Factors, Human Computer Interaction, Behavioral Economics, or a related field.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Computer Information Systems, Computer Information Systems and Information Technology, Engineering, Information Technology, Mathematics, Physics or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) performing Informatica ETL and Oracle database development to support HR data engineering capabilities in a financial services environment.
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In this client-facing role, you will support business leaders in the successful development of data strategies, data governance programs, data modernization roadmaps, reporting and visualization tools, and craft business cases for funding of data initiatives at large corporations, in particular regard to EHS and ESG functions.
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Applicants must be PA certified in PK-12 Technology Education, Business, Computer & Information Technology or PK-12 Computer Science. Experience or familiarity with tools such as but not limited to 3D printing, scratch coding, application development, robotics, laser engraver, CNC router and 3D milling a plus.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Predictive Modeling : Different kind of Business problems and different phases of Predictive modeling and Popular Modeling Algorithms. Deep Learning and Computer vision. Data Science/Machine learning track.
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Masters degree in Engineering, Management Information Systems, Information Technology, Information Science, Business, Computer Science, Mathematics, or related quantitative science field with 8-10 years experience as a GEOINT Quality Test Engineer on programs/projects.
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The employer will alternatively accept a Bachelor's degree in Applied Computer Science, Computer Science, Computer Engineering, or related field of study plus 5 years of experience in the job offered or as Software Engineer, Programmer Analyst, Developer, IT Associate/Consultant or related occupation.
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QualificationsEducational Background: A degree related to Game Design, Computer Science, 3D Animation, Interactive Media Arts, or Simulation Science is preferred. We encourage you to apply if you are a creative thinker with hands-on experience in simulation, game development, and 3D content creation using Unity, Maya, Oculus, and HoloLens.
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Master’s degree from an accredited college or university in health economics and outcomes research (with strong analytical skills), statistics, mathematics, psychometrics/psychology, epidemiology, computer science or related fields.
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Experience with Infrastructure as code: Terraform etcSkills Preferred:Master focused in Computer Science / Machine Learning or related field • Experience working with Google Cloud platform(GCP) – specifically Google Kubernetes engine, Terraform, and infrastructure • Experience in programming concepts such as Paired Programming, Test Driven Development, etc.
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In 2017, we launched Capital One Developer Academy (CODA), creating a pathway for non-computer science students from diverse backgrounds, majors, academic disciplines and experiences into technology, building a more diverse engineering team at Capital One. Computer science majors still maintain the opportunity to apply to the Technology Development Program.
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Bachelor's degree in physics, applied mathematics, scientific computation, computer science, materials science and engineering, or a related field with 5 years of relevant experience (3 years with an M.S. or 0 years with a Ph. D.
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business development computer science jobs Title: business analyst Company: Applovin
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