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Bachelor s Degree in Information Security, Computer Science, Digital Forensics, Cyber Security or related field or equivalent military experience required. Investigate data breaches leveraging forensics tools including Encase, FTK, X-Ways, SIFT, Splunk, and custom Unit 42 investigation tools to determine source of compromises and malicious activity that occurred in client environments.
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Analyze Science, Engineering, Business and other data processing problems and implement solutions to improve ERP (Enterprise Resource Planning) systems. Master’s degree in Computer Science/ Information Technology /Engineering (any)/ Math/ Business or closely related Field with Six (6) months of experience in the job offered or as an IT Consultant or IT Analyst or Developer or Programmer or IT Engineer or closely related field.
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Master's degree or seven years of professional experience in people analytics, data science, applied research, as a management consultant, or related field. The Principal Business Data Analyst position is responsible for leading and supporting analytic projects within the Global Recognition, Research and Strategic Partnerships (GRRSP) business unit and reports to the Vice President, Global Recognition & Research.
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Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Accounting, Data Processing/Analytics/Science, Mathematics.
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Bachelor’s degree in quantitative fields such as Statistics/Data Science/Econometrics/Mathematics/ Business Analytics preferred. Are you a data science professional that enjoys statistical modeling.
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Bachelor degree preferred in Math, Statistics, Data Science, Economics, Epidemiology, Public Health, or related field or relevant experience in lieu of degree. Requires a minimum of 5 years experience performing analysis on large healthcare administrative claims data, EHR/EMR data, or complex relational health care databases with significant experience analyzing medical, pharmacy, and behavioral health claims data.
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Comprised of 7 organizations, PC oversees IC Human Capital; Acquisition, Procurement & Facilities; Intelligence Advance Research Projects Activity; Science & Technology Group; Requirements, Cost & Effectiveness; Policy & Strategy; and Domestic Engagement, Information Sharing & Data. Responsibilities Lead coordination, integration, synchronization, and oversight of the IC's intelligence sharing policy and ODNI foreign disclosure activities in support of ODNI and national policymaker priorities.
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The ideal candidate will have a mix background with data engineering, data science, and machine learning engineer. Preferable to have data science knowledge and experience in designing, developing and implementing Deep Learning methodologies, and newer ML model implementations at scale.
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We power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types, and all sales channels, in order to ensure the ultimate goal – results for marketers.
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HTTP, Protobuf, GTest/GMock, Python, Perforce, Git, Parallel & Distributed Systems, linear algebra, large scale computing and data models, experience with developing and support new applications, calculation engines, and underlying infrastructure for portfolio analysis, portfolio reporting, quantitative model building, risk analysis, and fixed income analysis.
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Strong skills in various data analysis and visualization tools including SQL, Tableau, Excel, and PowerPoint are required. Partner with key stakeholders in various groups (Decision Science, Product, Decision Management Delivery, Business Control, Compliance, Operations, Finance and Enterprise Risk Management) to identify areas of opportunity and spearhead initiatives to enable profitable growth while minimizing credit risk exposure and adapting to changing economic and regulatory environment.
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Bachelors/master's degree in mathematics, computer science/engineering, finance/accounting or related areas; candidates with BA/S degrees in the same fields from the top tier academic institutions are also welcome to apply.
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In fact, some of the most popular data science methods stem from machine learning. Beginning with an overview of the landscape and real-world applications, students will learn how data science and machine learning impact the world in which we live, every day.
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Public Policy, Government, International Studies, Data Science, Communications, and STEM majors. Support clients in collecting and analyzing data, producing models and visualizations, and draw conclusions from the data to improve decision-making.
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The Qlik AutoML team is building automated machine learning products that provide advanced analytics and insights to users without a data science background. Mentoring junior developers to help them improve their programming practices and understanding of design patterns, architecture, data structures, and algorithms.
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Internship Cover Letter Tips with Examples
Until now, college has been about learning, absorbing, and experiencing. It’s not until you become eligible for an internship that things start getting real—real-world experiences using real-life scenarios. Applying for internships takes time, and there’s no college course on “how to apply for jobs.” (We’d sign up immediately if there was, though!) But here's a spoiler alert: most internships require a cover letter. And while this may seem like a burden, it’s actually a blessing.
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Many employers think their hiring process is perfect. However, research shows that the hiring processes are generally impartial and unfair, especially if you are part of certain demographics. Women, people of color, people with disabilities, or even people in lower socioeconomic status are more likely to be subject to implicit bias. As diversity and employer branding become major aspects of business, it is important that employers take the lead to identify and remove bias from the hiring process. So, here are 5 practical ways to get you started.
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Whether you’re a recent graduate or you still have a few exams left, you may be itching to put your polished leather shoes on and join the workforce. After all, your first job is an entryway into the professional life you’d lead for the decades to come.
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Your company probably has many policies in place – anti-discrimination policies, equal opportunity policies, ethics policies, and so on. However, it is important to re-evaluate whether you have a policy that covers every situation. Say for instance one of your employees submit a complaint in good faith to their supervisor. To their surprise, they are met with retaliation, such as demotion, defamation, or even termination.
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If you’re reading this, let me be the first to tell you how sorry I am. Getting fired feels crappy, disheartening, hurtful, and all the other bad, sad words. But here’s what I want you to do. First, let yourself fumble for a minute. Then, pick your head up — sometimes getting fired is a blessing in disguise. If you think termination is around the corner, we’ll teach you how to prepare to be fired and what to do next so you land somewhere even better.