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This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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You have good knowledge and understanding of data science approaches including machine and deep learning; application in imaging domain (H&Es, IHC, radiomics) a plus. You will continue to stay up to date on the latest relevant scientific literature and translate your learnings into evolving best practices in data science at Genmab.
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You will contribute to several clinical development programs to help identify appropriate biomarkers, mechanisms of action, and new indications using cutting-edge data science tools. You have a strong knowledge and practical experiences with high density data types in a clinical setting (genomics, transcriptomics, proteomics, flow cytometry, TCR sequencing, immune assays, etc.
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Expertise with CI/CD processes and contributes to a sustainable and robust codebase Experience with batch jobs/data pipelines and is comfortable deploying through these systems (i.e. Airflow, Luigi, Composer) Build and interact with production systems for serving machine learning predictions.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters. 11 West 19th Street (22008), United States of America, New York, New YorkManager, Data Science - Fraud, Deep LearningManager, Data Scientist, Fraud.
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6+ years’ experience managing and delivering complex and technical projects, preferably in the data science space2+ years’ experience crafting the strategic direction of technical programs within domain specific industriesPrevious experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc.
$151,800 - $253,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math Benefits & Perks Equity Package 15% Bonus Generous Paid-Time Off 401k Match 100% Coverage for Medical, Dental, and Vision Relocation Package Included Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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We achieve this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. As a Senior Data Scientist on the team, you will lead building data science solutions end-to-end and mentor other data scientist team members.
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The ideal candidate will possess a strong background in data analysis, statistical modeling, and machine learning. Proficiency with data science tools and programming languages such as Python, R, SQL, and Scala.
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We are seeking a candidate with a keen sense of natural curiosity who will play a crucial role in enhancing customer care and driving innovation through the application of machine learning and data science.
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As a Director, Data Scientist on/in the US Businesses Long Term Care Data Science Team you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other professionals to build models to determine Long Term Care Estimates.
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Columbia University is a leader in the burgeoning field of data science, with depth drawing from foundational strengths in computer science, artificial intelligence, machine learning, statistics and operations research, and the breadth of applications in every field of inquiry offered university-wide.
$120,000 - $175,000 depends on experienceExpandApply NowActive JobUpdated Today
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