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This Level 1 position is based on a candidate having conceptual knowledge and practical experience in data science, to use best practices to improve risk analysis products. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
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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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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Under this program, we will make you stand out from the rest of the jobseekers by offering Skill enhancement training on the technologies in-demand including time management skills, study skills, test-taking skills, and learning strategies after which we can assist candidates in getting jobs as software programmers / Java Programmers / Data scientists / Machine learning engineers / Data analysts.
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2) Data Science/Machine learning track. Data science will have an introduction with PYTHON, further into numerical python, PANDAS DATA ANALYSIS, DATA VISUALISATION.
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Experience with and application of one of the following: - Data visualization: tools such as Tableau, Datorama, Alteryx - Advanced analytics software packages: SQL, R, Python or other - Concepts of database design and SQL Desired Experience.
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Master of Science degree in Computer Science, Engineering (Any Branch), Information Technology, Computer Applications/Applied Computer Science or Computer/Management Information Systems plus two (2) years of experience as Software Developer, Software Engineer, Computer Programmer, Systems Analyst, or related position.
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The Release Train Engineer will lead Agile/JIRA adoption for a portfolio of tests focused on data testing (testing that evaluates enterprise data across the Bank’s data lifecycle, including capture, transport, and use, and provides critical insights into data accuracy, completeness and fitness for purpose, as well as the data health of bank data domains and in-scope processes and controls.
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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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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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Desire or experience working with Fintech, Regtech, Blockchain, machine learning, data science, and virtual currencies. Excited about working with fintech, blockchain, machine learning, and data science products.
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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.
$130 - $160Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The sectors served include Local, State, and Federal Government; Commercial and Industrial enterprises; Higher Education and K-12 institutions; Healthcare facilities; Hospitality industry; Railroad operations (Class 1, Regional, Local Line Haul, and Switching/Terminal); Residential developments; and Utilities and Energy sectors.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize 3D modeling and data visualization software to update airframe 3D models and complete data processing on fleet maintenance findings. 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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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. Description The DarkStar Group is seeking a Systems Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Herndon, VA. Below is an overview of the project, as well as information on our company, our benefits, and our $25,000 referral program.
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CSG is organized by core customer-facing lines of business to manage and grow programs within NASA, NOAA, and the NNSA, while extending our capabilities to other civilian federal government agencies fully integrated within Aerospace rules, regulations, processes, values, and behaviors.
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software engineer data science federal government jobs Company: Clearancejobs in Kekaha, Hawaii
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