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Business Administration/Management, Mathematical Statistics, Statistics, Applied Mathematics, Financial Mathematics, Mathematics, Finance, Financial Markets, Economics and Finance, Quantitative Finance, Banking and Finance, Economics, Business Analytics.
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Preferably an undergraduate / associate level degree / diploma from an accredited institution, in Computer Science / Statistics / Applied Mathematics / EE / Electronics or, any equivalent technical field of study.
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HAS is an expansive and diverse college that includes 10 academic units which develop leading professions health sciences such as dental hygiene, medical imaging technology, medical laboratory science, respiratory care, dentistry, and polysomnography, humanities, social sciences, communication, and mathematics.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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An advanced degree (master's or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
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Basic Qualifications: A bachelor's degree, preferably in a technical discipline, e.g., computer science, data science, engineering, applied mathematics, or closely related field or equivalent on-the-job experience.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Education RequirementsA master's degree in engineering, operations research, applied mathematics, physical sciences, or related fields with 0 to 5 years of professional experience is preferred.
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Requires a Master’s degree in Applied Computer Science, Electronic Engineering, Mathematics, Physics, or related field and three years of work experience in the job offered or in a computer-related occupation.
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Relevant PhD degree required in computational biology, computational neuroscience, applied mathematics, computer science, or related discipline required, with a strong bioengineering and/or molecular biology focus.
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Educational background in a Quantitative Field such as: in Computer Science, Engineering, Applied Mathematics, Statistics. I am working with a Top Tier Hedge Fund based in New York City who are looking to hire a Quantitative Developer to join their Global Macro Team.
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Expert knowledge of appropriate analytic methods and methodological tools in one or more of the following areas: Applied Mathematics (e.g. probability and statistics, formal modeling, computational social sciences); Computer Programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing); and Visualization (e.g. GIS/geospatial analysis, telemetry analysis.
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Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
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An undergraduate degree in a quantitative discipline (Economics, Statistics, Engineering, Applied Mathematics) You'll work with a team of world-class talent from Stanford GSB, Wish.com, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc.
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Proficiency in operating application stack environments such as Hyperion, Agile, Oracle Fusion, Oracle EBS, UiPath, or Vertex. Working with Oracle Exadata, Golden Gate, RAC, ASM, Data guard and RMAN. Proficiency in Python and Shell and any other languages used in system tooling (e.g. Ruby, Perl.
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