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Actuarial Science, Business Administration/Management, Commerce, Computer and Information Science, Computer Applications, Computer Engineering, Computer Engineering & Accounting, Data Processing/Analytics/Science, Economics, Electrical Engineering, 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 Business Analytics, Statistics, Computer Science, Applied Mathematics, Data Science, MIS, Management, Operations Research, Industrial Engineering, or a related field.
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MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
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Perform Manual Testing Required Experience: Bachelor's degree in information technology, computer science, data analytics or related field experience. Bachelor's degree in information technology, computer science, data analytics or related field experience.
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BS or MS degree or equivalent experience in computer science, IT, software engineering, management information systems or mathematics. Establish the data conversion strategy for local government utilities customers and lead a team to migrate premise, meter, customer, and transactional data for new Utility Billing customers.
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A degree preferred in Computer Science with an emphasis in Human Factors, Human-Computer Interaction, or Cognitive Psychology; or demonstrated experience designing high quality commercial software.
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Bachelor's degree from a recognized college or university with major course work in Healthcare Informatics, Information Technology, Engineering, Data Analytics, Computer Science, UX Design, Business Analytics or a related discipline.
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MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field; The Data Science Team within Customer Success is highly engaged with our clients making use of their critical thinking skills with a business-focused mentality and customer-facing attitude.
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BA/BS degree or higher within Human-Computer Interaction, Human Factors, Psychology, Cognitive Science preferred or equivalent combination of education and experience. Master’s degree in the Human-Computer Interaction, Human Factors, Psychology, Cognitive Science.
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Bachelor's Degree in Computer Systems Analysis, Data Processing, Healthcare Informatics or Management Information Systems. Master's Degree in Computer Science, Information Technology, Management Information Systems, Healthcare Informatics, or a related field.
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Employer will accept a Bachelor's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Engineering, or a related technical field and four years of experience in job offered or in a Senior Data Scientist related occupation.
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Bachelor of Science degree in Computer Science or equivalent At least 7 years of post-degree professional experience At least 5+ years of Airline industry experience 4+ years development experience building and maintaining ETL pipelines 3+ years of experience working with database technologies and data development such as Python, PLSQL, etc.
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Computer Science, Industrial Engineering, Mathematics degree or related technical field preferred. Experience with data analytics the platforms; BigQuery and Snowflake. A Database Developer II in the Technology Services organization will be responsible for supporting, building, and enhancing our database environments, Enterprise Data Warehouse, and Business Intelligence and Reporting Platforms.
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Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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Majoring in one of the following IT disciplines: computer science, computer information systems, data mining, data science, information technology, cyber security, or other IT related majors.
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computer science data jobs in Atlanta, Papillion, Nebraska
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5 Common Interview Mistakes
Everyone's interview process is unique in some form or fashion. Like most, your interview process is crafted so you can get the most information out of your candidates to increase hiring confidence and make the right hiring decisions. However, there are often small problems in interview processes that could ultimately affect the success of hiring decisions.
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It might be tempting to overlook the importance of a well-written job description. After all, if you’ve posted job ads before and ended up with tons of resumes in hand, it’s easy to assume that this will always be the case, regardless of how your job ad reads. But, in reality, you really can’t take getting an influx of resumes for granted.
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When tax time rolls around, the last thing you want to worry about is having to track down a W-2 from your former employer. Many times you won’t have to because the IRS requires companies to send these forms to all current and former employees who have earned more than $600 in the last year. Unfortunately, there are employers who don’t do what they’re supposed to. There are even times where something else may happen that prevents the W-2 from getting where it’s supposed to go.
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Structured vs Unstructured Interviews
The goal of an interview is to evaluate candidates based on their skills, personality, and knowledge. You want to choose the BEST candidate from your candidate pool, so the interview is something you can't mess up. As you begin planning your interview process, one of the major decisions you'll face is whether the interview should be a structured vs unstructured interview. So let's take a dive into the differences and sort out which circumstances warrant which interview process.
How to Describe Your Personality with Examples
Imagine you’re in an elevator with the CEO of your dream company and you get to talking. The conversation is going well and you start to imagine yourself working for their company when the CEO turns around and asks you “tell me a bit about yourself.” Would this catch you off guard or would you be able to give a clear and succinct description of who you are?