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This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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The Data Scientist will also suggest GenAI applications for our domain expertise and deliver POCs/Products that would deliver on our data science promise to CDM. This data scientist will be an independent and proactivethinker who continually explores our data to uncover improvement opportunities and creates rapid prototypes to accompany data science project proposals.
$114,000 - $130,000Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Research experience (publications) in the following areas is preferred machine learning, deep learning, NLP, computer vision, data mining, causal inference, information retrieval, game theory. Familiarity with distributed data processing/analysis and modeling paradigm.
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An image scientist focuses on Modeling, Simulation, & Analysis (MSA) works to model image sensing systems, utilizes those models to simulate data produced by the systems, and analyzes simulated results in comparison to desired data quality.
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Experience in writing production-quality code in R/Python, productionizing data models and statistical models with tools such as Git, Sagemaker, and dbt, and using software engineering best practices around version control, review, and automated testing.
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A Geologist III must also be eligible to obtain a signatory credential recognized in the State of Indiana or other states where COMPANY has offices, such as LPG, CHMM, Soil Scientist, or PE. This position may also involve some limited direct-report management responsibilities.
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We are looking for a Senior Data Scientist to join the Inventory & Marketplace quality team. Mentor junior data scientist in the team with tech lead responsibilities.
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As a Data Scientist at Capital One, youll be part of a team thats 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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Data Scientist : use statistics and machine learning to extract value from data: solving optimization problems, building prediction models, running A/B experiments and more. Data Ontology Design, Generalized Contextual Modeling and Processing Mapping Skills Required.
$23 - $24 an hourExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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You’ll be working on a small, multi-functional team that may include other engineers, a designer, product manager, data scientist and other roles. Full-stack development (Kotlin, Javascript, React, Swift)Messages queue and event streaming (Kafka, Kinesis, Redis Streams)Continuous developmentIn-memory data stores and caches (Redis, Memcache)Distributed systems.
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Participates in the continuous quality improvement process through professional development, continuing education, data collection and evaluation and quality assurance. Current State of California Clinical Laboratory Scientist License American College of Clinical Pathologist (ASCP) registration preferred.
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Brooks also provides many low or no cost community programs and services such as the Brooks Clubhouse, Brooks Aphasia Center and Brooks Adaptive Sports and Recreation to improve the quality of life for people living with physical disabilities.
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The scientist will be an integral member of the nuclear magnetic resonance spectroscopy (NMR) team and will assist in the execution of structural elucidation of reference materials by NMR and Circular Dichroism (CD) instruments including designing and executing experiments supporting reference materials evaluations, product investigations and other relevant programs in the laboratory.
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Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and toolsBuild actionable KPIs, create production-quality dashboards and notebooks to convey insightsDefine and advance best practices within an experiment-driven cultureInform product engineering roadmap through analysis of marketplace, user behavior, and product trendsAbout You.
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Contributes to medical review and interpretation of efficacy and safety data from clinical trials; this includes delivery of top-line report in collaboration with study statistician, and delivery of clinical study report in collaboration with medical writer and accountable for overall quality and timeliness of analysis and reporting.
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