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PhD preferred in Statistics, Applied Mathematics, Computer Science, Physics, Engineering, or other Quantitative Science. Certification/Specialized Skills: Git, Python/R, SQL; software SDLC and package/library development; shell/bash/command line scripting; big data stack (Spark/Hadoop); applied machine learning; statistical analysis; data visualization and reporting tools; AWS; ability to manipulate, clean, and combine large, complex disparate data sources; ability to read, learn, and evangelize algorithms and statistical methodologies from peer-reviewed literature.
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Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Software Engineer/Developer (or closely related occupation) automating Java APIs, AWS Serverless solutions, and Angular front-ends using Selenium and JEST in a financial services environment.
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At least five (5) years of professional experience in institutional research leadership and conducting outcomes assessment and/or applied social science research (quantitative, qualitative, mixed- and multi-method) preferably in a higher education setting and including three (3) years of team supervision.
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MS in Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics. Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics.
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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Master’s degree (or foreign equivalent) in engineering, computer science, mathematics, statistics, or related technical field; plus 3 years of experience in job offered or asset operations analysis in renewable energy industry.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
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Internal Role Title: AD and Senior Principal Scientist, Data Science. Work at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery.
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Bachelor’s, Master’s, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical field. Understanding of and experience with RF systems and their principles of design, development, requirements verification, test planning, test execution, and data analysis.
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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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7+ years ofquantitative expertise: statistics, mathematics, and computer science (python / SQL required) This high-profile group works across all of Investment Management as well as with our other internal stakeholders including product, actuarial, treasury, accounting, risk, compliance, and external partners, including our primary asset management subsidiary Barings and the major Wall Street derivative broker/dealer counterparties.
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Masters or Bachelors degree in quantitative field such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics or Physics. 5+ years of experience in applied data science or quantitative research or related role.
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At 1910 Genetics, we put computation at the heart of drugdiscovery, blending expertise in computational chemistry, structuralbiology, pharmacology, genetics, data science, and softwareengineering to develop drugs for previously undruggable targets.
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Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred. Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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Bachelor’s degree in Industrial / Organizational Psychology, Statistics, Data Science, Computer Science, or a related field; Master’s degree preferred. Sompo is offering a distinctive opportunity for a Senior Global HR Data Analyst within our Talent Management Center of Excellence, situated in our Global Human Resources team.
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data science applied mathematics jobs Title: postdoctoral Company: Berkeley Lab in Boston, MA
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