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Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s.
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Bachelor’s, Master’s degree, or Ph. D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc. Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
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The 4 years of experience must include experience with AngularJS; Typescript; Python; Plotly; Linux; Perl; Flask; API; SQL; Anova (Analysis of Variance); Regression and Correlation Analysis; Exponential Smoothing; Tableau; ETL; Data Visualization (Dash); Microservices; and Git. Must have a Master’s Degree, or foreign educational equivalent, in Computer Science, Management Information Systems, or other closely related IT field.
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Minimum Qualifications:•Bachelor of Science in Geology or Petroleum Engineering•Professional Geologist (PG) or Engineering (PE) License. Master of Science in Geology or Petroleum Engineering.
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Relevant university degree in a STEM subject or other quantitative field (computer science, technology, engineering, mathematics, or physics, electrical engineering, mathematical finance.
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Qualifications BS in Electrical Engineering (BSEE) or BS in Electrical Engineering Technology (BSEET). Education Requirements BS in Electrical Engineering (BSEE) or BS in Electrical Engineering Technology (BSEET.
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Bachelor degree in Computer science, Engineering, Finance, or Quantitative Finance. Vast experience in data extraction and collection from websites, APIs, databases, and cloud platforms (AWS S3, Azure, Snowflake.
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Reviews technical documentation related to engineering changes: ECN (Engineering Change Notices), DBI (Data Base Information) and engineering specification/requirements Review design basis document and/or specifications for new product or tooling as needed.
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Join our dynamic team as a System Verification and Validation Engineer and become a vital contributor to support NASA as an Oceaneering Teammate on the JSC Engineering, Technology, and Science (JETS) II contract.
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Ensure effective liaison with the Chief Engineer and within the Engineering group to build and maintain consistently high engineering standards, drive relevant product development and ensure analysis tools and reference materials remain fit for purpose.
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Bachelor's, Master's degree or equivalent in Computer Science, Artificial intelligence, Machine Learning, Mathematics, Applied Statistics, Physics, Engineering or related field. You will function as part of a world class Data Science team to support various AI and machine learning initiativesSolve complex marketing and business challenges by accessing, integrating, manipulating, mining, and modeling a variety of data sourcesReframe client business questions into data science deliverables.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Previous OSP engineering and Field data collection experience, along with working knowledge of client software systems including, ARAMIS, BST-CAD, OSPCM, JMS (OPEDS), AOtX, AOTS, PLANET, CEEOT, MMT, PM Tool, EFACTS, MIC, LFACS, GRANITE and OCALC. The ideal candidate will have expert level experience with Customer Quality Control metrics, work print design, FTIs, and other measures to ensure first time acceptance.
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In Computer Science or Machine Learning related degree and about 10 years of work experience. As a Data Scientist Director in the ISDA team, you will have the opportunity to work on exciting end-to-end machine learning problems and solutions.
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At the LPI, the successful candidate will enjoy interactions with the diverse Science Staff, scientists at the nearby ARES Division (JSC), and with faculty of nearby universities such as Rice University and the University of Houston.
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computer science data engineering jobs Title: engineer Company: Bdo Usa in Houston, Wailuku, Hawaii
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