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A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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MS degree and 5 years of industry experience or PhD degree in physical sciences (e.g., Chemistry, Physics, Biology, or Chemical Engineering), quantitative field (e.g., Computer Science, Statistics, Applied Mathematics), or equivalent industry research experience.
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Basic Qualifications:Bachelor's Degree complete or in progress preferably in applied mathematics, statistics, computer science, data science, electrical engineering, physics, or closely related fieldA minimum of (6) six years of overall experienceFamiliar with JavaSrcriptExperience with JSON parsing and YAMLExperience interacting with RESTful APIsExperience with scripting languages like Python, Bash, and PowerShellExperience with TLS/SSL to secure data in transit.
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Bachelor’s degree required, Master’s or higher degree in Computer Science, Mathematics, Applied Mathematics, Statistics/Data Science, or related Quantitative experience preferred.
$262,600 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor DegreeRequired Fields of Study: Actuarial Science, Statistics, Mathematical Statistics, Economics, Mathematics, Applied MathematicsMinimum Years of Experience: 2 year(s) Preferred Qualifications: Preferred Knowledge/Skills: Demonstrates a thorough level knowledge of and success in technical roles involving model build and implementation, especially for Life and Annuity products.
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Required Skills:Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, Data Management, Information Systems, Information Science, or a related quantitative field, or equivalent work experience.
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Required qualifications, capabilities, and skills: Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics or an equivalent quantitative field Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
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Exciting Opportunity at MSK: Postdoctoral Fellow in Computational Genomics and Cancer Data Science. We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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An undergraduate or graduate level degree in computer science, applied mathematics / statistics, electronics / electrical engineering or similar field of study. Proven experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Redshift, Snowflake, Databricks.
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Data Science | Machine Learning | Statistics | Mathematics | Health-tech | Electronics | Wellbeing | Applied Science | Generative AI | Artificial Intelligence | Multimodal | Speech | Audio | Text Extraction | Stakeholder Management | Technical Leadership | Natural Language Processing | NLP | Computational Linguistics.
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Ph. D. in computer science, applied mathematics, computational sciences, physics, chemistry, or a related field. To build a world-class research program for AI- and data-driven innovation in human health, the AI Department and HPI.MS are seeking outstanding candidates for early- and mid-career positions with an excellent track record in computer science, artificial intelligence, and machine learning to join its faculty.
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A BA/BS degree in a quantitative discipline: computer science, statistics, applied mathematics, operations research, engineering, economics, etc. Work closely with design, engineering, data, ops and other cross-functional partners to learn quickly and ship quickly.
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Degree in a technical or quantitative discipline like statistics, mathematics, physics, electrical engineering, computer science, or applied economics or finance (all levels welcome, from bachelor’s to doctorate.
$325,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related field. As a Lead Data Scientist at Hims & Hers, you will be responsible for identifying opportunities to apply data science and machine learning techniques to improve our marketing, products and processes.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago
data science applied mathematics jobs in New York, Bentonville, Kansas
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