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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Managing and directing on-shore and off-shore resources to organize and profile large data sets to develop risk models; Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Our data science track covers most of the below: Topics and content might change based on the market requirements. 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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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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Knowledge and skills working with large data sets, including survey instrument design, data collection processes, data analysis, and writing reports on findings of the research.
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Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory. 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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A bachelor's degree in computer science, business or equivalent experience and eight (8) or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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Previous experience working or collaborating on Data Analytics or Data Science projects or initiatives. Hands on development with Amazon Web Services (AWS) services commonly used by our team including RDS, Lambda, S3, API Gateway, and SageMaker.
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Provide guidance with data collection efforts for extracting, identifying, and compiling environmental data from soil sampling, soil gas sampling, groundwater sampling, stormwater sampling, boring logs, and other matrices for projects, investigations, and surveys.
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Preparing and modeling data in SQL, Tableau, and/or Qlik; Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Data center construction and engineering.
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Extensive knowledge and hands-on experience Kafka , & Angular / React , JavaScript, Typescript, CSS, HTML. Solid understanding of Large Language Models, Machine Learning, Deep Learning, Generative AI, Supervised learning, data science, and data engineering.
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But none of these work unless we have participants who are willing to answer questions, join focus group zoom meetings or even test products hands-on and provide feedback. Salary: Data Entry Work from Home - Part Time Computer Job.
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Hands-on experience configuring and implementing an enterprise integration architecture solution using OIC adapters (SOAP, REST, FTP, and other pre-built adapters) based on NFCU's data mapping requirement.
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Hands-on experience in Workday Integration Technologies - Cloud Connect (PICOF, PECI, CCW, CCB), Enterprise Interface Builder (EIB), Advanced Report Writer. 5+ years' experience implementing Workday focusing on areas such as Integration, Security, Data Conversion, Data Cutover or Reporting.
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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hands on data science jobs Company: Gartner in Austin, TX, Canada
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When to Tell Your Boss You're Job Searching
The Bureau of Labor Statistics has found that individuals, on average, have 12.4 jobs throughout their working life. So regardless of where you are on the career ladder, it’s inevitable that at some point, you’ll begin looking for another job. That said, you might be wondering,
What Questions Can You Not Ask in an Interview?
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How to Prepare to Be Fired - What You Need to Do
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How to Find a Job That Makes You Happy - 11 Concerning Facts
Do you ever feel like your life is like one of those rom-com movie scene openers? You know, the ones where the main character rolls out of bed, awakened by a casually upbeat theme song, sulks their way to the coffee pot, and then trudges toward their computer to begin yet another boring day at work?
How to Decline a Job Offer You Already Accepted
When you think about it, turning down a job offer is not the worst position you could be in. If you’ve been lucky enough to consider multiple job offers, well, then you’re lucky enough.
How to Practice Fair Chance Hiring for People With Criminal Records
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6 Common Mistakes to Avoid When Employer Branding
Currently, job searchers are putting extra effort into researching employers. The information they find plays a major role in whether they will pursue an opportunity with you or look for jobs elsewhere. That is why it is now more important than ever to be proactive and intentional when showcasing your workforce and workplace culture. Having a well crafted employer branding strategy can help you strategize and influence your potential candidates so they see your business in the best light. But in order to do that, you should be aware of some of the most common mistakes that employers make.