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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree. The preferred candidate will have an undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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Actuarial Science, Business Administration/Management, Commerce, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Economics, Engineering, Engineering and Business, Finance, Information Technology, Management Information Systems, Mathematics, Mechanical Engineering, Operations Management/Research, Risk Management, Software App, Statistics.
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Master’s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required.
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Masters degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.
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B.S., M.S, PhD degree in Systems Engineering, Software Engineering, Computer Science or STEM (Science, Technology, Engineering, or Mathematics) discipline, such as Aerospace, Mechanical, or Electrical Engineering.
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Stay abreast of the latest advancements in reservoir engineering and data analytics technologies. Experience with Data Visualization Software, such as Power BI or Spotfire preferred.
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Data Engineering Strategy: Develop and execute a comprehensive data engineering strategy through DataBricks Medallion Architecture. Quality Assurance: Establish and maintain rigorous testing and quality assurance processes to ensure the accuracy and reliability of data engineering solutions.
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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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Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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This role is pivotal to the success of our data engineering team, as it involves working with cutting-edge tools and technologies to deliver robust data solutions. Experience with data visualization tools like Tableau.
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Bachelor's degree in data and Analytics, Economics, Computer Science, or related field. Familiarity with data visualization best practices and UI/UX design principles.
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Develop and maintain data engineering best practices and contribute to insights on data analytics and visualization concepts, methods and techniques. Develop and maintain production range pipelines using best data engineering practices and contribute to data analytics.
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data science computer engineering visualization jobs Title: network engineer in Dallas, ID, Arizona
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