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Bachelor's degree or Master's degree in Statistics or Applied Mathematics or equivalent experience, ideally acquired in a technical or quantitative discipline. Proven quantitative, analytical and problem-solving capabilities.
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Job Responsibilities Combine vast data assets with cutting-edge AI, including LLMs and Multimodal LLMsBridge scientific research and software engineering, requiring expertise in both domainsCollaborate closely with cloud and SRE teams while leading the design and delivery of production architecturesRequired qualifications, capabilities, and skills PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics.
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MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering.
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Undergraduate degree in Actuarial Science, Applied Mathematics, Statistics, Economics, Computer Science, Data Science or Data Analytics or other quantitative major. Experience with: Modern Data & Analytics Technology such as Dataiku, Tableau, AWS, Spark Coding with SQL, Hive, Python/R, SAS, VBA, etc.
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Master's or Ph. D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation.
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MS or PhD in Computer Science, Statistics, Applied Mathematics, Physics or other quantitative fields with focus on AI, Machine Learning, Mathematical Algorithms, Probability and Statistical Modeling.
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About YouBA or BS in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Engineering, Information Science, etc. Preferred Qualifications:MA or MS in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Engineering, Information Science, etc.
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A BA/BS degree in a quantitative discipline: computer science, statistics, applied mathematics, operations research, engineering, economics, etc. 2+ years of work experience in business intelligence, dashboarding, reporting, or data analysis working with tools such as Preset, Looker, Tableau or comparable data visualization tools.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The Division of Mathematical Oncology and Computational Systems Biology at the Department of Computational and Quantitative Medicine aims to apply mathematics, physics, and evolution-based research to clinical care in oncology.
$34 - $37.55 an hourFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Preferred Qualifications:Advanced degree in applied mathematics, statistics, actuarial science, economics or related field. Minimum Qualifications:BS/BA degree in statistics, mathematics, economics, computer science or equivalent years of experience.
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MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python.
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Masters or PhD degree in a relevant subject such as Computer Science, Applied Mathematics, Statistics, or a related field. Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options.
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Bachelor's degree or above in CS, Applied Mathematics, Engineering, Physics, or similar. Global financial technology industry leader has immediate need for a Quantitative Developer with hands on C.
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Bachelor’s degree in Operations Management, Mathematics, Statistics, Actuarial Sciences, Economics or other quantitative, business or technical discipline, or equivalent combination of education and business applied experience.
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Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative, business or technical discipline Preferred. Monitor fraud trend and develop fraud strategies, tools, processes to deliver superior fraud detection while balancing customer experience.
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When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
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Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.
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If you’re like most of us, you’d love to be wealthier. Having more money would alleviate stress. It would make it easier to pay your bills and buy nicer things. Maybe it’d allow you to spend more time with your kids and go on more vacations. You’re not alone if you wish you could somehow earn a more significant income.