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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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Knowledge and experience with advanced statistical programming and data management using STATA, SAS, R, python, SQL or other programs. - Lead new data science initiatives at the VA and at UCSF, serving multiple roles as data custodian, data consultant, statistical analyst, and scientific collaborator.
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A highly motivated individual, the Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
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At least 5 years of experience in data science, machine learning, and statistical modeling. Proficient in programming languages such as Python, R, SQL, and SAS. The Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Experience in building data pipelines and deploying/maintaining them following modern DE best practices (e.g., DBT, Airflow, Spark, Python OSS Data Ecosystem.
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Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more — to reveal the insights hidden within huge volumes of numeric and textual data. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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Proficient in programming languages commonly used in image data analysis, such as Python, R, MATLAB, or ImageJ/FIJI. As a Scientist on our Delivery team, you will perform scientific and data analysis while helping to drive our client projects.
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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. A successful candidate will have comfort and familiarity with a broad range of data analytics, analytics engineering, data science, and reporting tools and methods, as well as strengths in project management, change management, and communication among technical and non-technical stakeholders.
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Working closely with our data engineering team, you'll design an implement an enterprise-grade machine learning infrastructure focused on credit risk modeling and fraud detection based on blockchain data.
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You will report to the head of research and development utilizing a world-class computational R&D environment to build cutting edge models predicting disease risk from whole genome sequence data.
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Python, R, SQL skills welcomed. The ability to interpret and present data in a clear manner. The Structured Products Trader/Analyst will be an important member of the Structured Products team, focusing on trading and analysis in Agency MBS, Agency CMBS and AAA ABS.
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NET (C# or VB), R, Python proficiency. Familiarity with Artificial Intelligence/ Machine Learning, Robotics Process Automation and Blockchain and their impact on the regulatory environment.
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Our team is responsible for enabling Hims & Hers business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, and Engineering) by providing a platform with a rich set of data and tools to leverage.
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Senior Software Engineer with backend / distributed systems / large scale and database/data processing or data streaming centric background and coding skills in at least one of Go, Golang, Python, Java or C.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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