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Our client, a leading med tech company with over 125 years of experience, has engaged GForce Life Sciences to provide a Sr. Biostatistician. Must demonstrate progressive experience in consulting and serving as lead consulting biostatistician on product development projects.
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The Services Developer will communicate with the Services Tech Lead to ensure that assignments are delivered with the highest quality and in accordance with standards. Knowledge of core features of Spring such as Dependency Injection and Aspect-Oriented Programming, Spring Security etc.
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We are on the hunt for an adaptive and visionary Research Scientist with a Tech Lead focus to catalyze our growth trajectory. Proficiency in Python and familiarity with other programming languages, along with a history of working with AI development frameworks such as PyTorch and TensorFlow.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Prior as experience as a team or tech lead is preferred. This position is responsible for performing advanced full stack programming tasks for the maintenance and enhancement of our Dentrix Enterprise Practice Management System with a focus on the financial domain.
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As a Senior Lead Engineer in Finance tech you will be responsible for working collaboratively across Finance, Capital One Lines of Business and Enterprise Functions to develop patterns, playbooks and tools to support standards, create and review target data models in support of Finance and Enterprise goals.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. The Lead Data Engineer for Data Transformation is a highly visible manager-level leadership role expected to lead and mentor an extremely talented technology Agile team responsible for building Data Transformation pipelines to support the business requirements.
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Experience with national security, aerospace or clean tech is an important plus. Our initial focuses will be related to national security, aerospace and clean tech-related technologies.
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Functioning as the tech-lead for several concurrent key initiatives for the Training Infrastructure and defining the future of AI training platforms. 7+ years of industry experience in software design, development, and large-scale software engineering Experience programming in object-oriented and/or functional programming languages(like Java/CPP/Scala/etc.
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This role reports directly to the CTO and will act as the Tech Lead for the organization, driving architecture (React & Typescript) and building backend infrastructure (Node.js), whilst mentoring a small team of mid-level software engineers.
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We are seeking a seasoned Data Science leader who is an expert at connecting the dots between business, data and tech, can lead a global team of data scientists, operate with a startup mentality to deliver new products and establish our experimentation framework in Humana Pharmacy Solutions.
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Experience with Python, R, SAS or other statistical programming language. Flexible, dynamic personality who works well in a team environment and is able to lead a diverse team of data scientists, statisticians, and advanced analytics professionals.
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DescriptionHumana's Associate Vice President (AVP), Technology and Cybersecurity Risk works closely with all areas of Enterprise Information Protection (EIP), Internal Audit, Enterprise Risk Management, business units, regulator.
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A deep technical background in applied data science, spanning some or all statistics, experimentation, machine learning, causal methods, optimization techniques, data engineering and architecture (applied to large data), and behavioral analytics.
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As the AVP, Data Science, your mission is focused on executing on approaches and projects related to advanced analytics, causal inference, and machine learning. Degree in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or Applied Science related field.
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