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U0026 -8+ years of experience in developing business applications for Machine Learning and Data Science workloads. u0026 You will work closely with data scientists, machine learning engineers, and other software engineers, using the latest tools and technologies to develop analytic solutions and integrate analytic models with existing business applications.
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Our data warehouse is built using tools like BigQuery, Airflow, and dbt. including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Sr. Big Data Engineer , you will design robust, secure, and maintainable data solutions that enable our advanced Analytics, Reporting, and Machine Learning capabilities across our organization.
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Design, develop, and operate complex machine learning and multi-faceted data fusion pipelines in a production environment. Collaborate closely with data scientists, machine learning engineers, and scientists to integrate machine learning models into scalable production systems.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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You bring with your e xtensive experience in processing complicated and large-scale dat a sets to extract and report insights from data, building advanced machine learning and deep learning models with various applications, and leveraging data to optimize business metrics.
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7+ years of professional experience working on complex data challenges in the areas of data architecture and engineering, data science, data analysis and visualization, machine learning, artificial intelligence, or related discipline.
$82,100 - $172,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, Develop and implement data science projects, including machine learning models, deep learning models, NLP solutions, statistical analysis, and data visualization.
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In this role, you’ll work with world-scale public and proprietary datasets pertaining to all aspects of global trade, build sophisticated Machine Learning models that generate unique insights for our customers into the risks and opportunities posed by their supply chains, and stay on the cutting edge by incorporating generative AI into supply chain exploration and analytics workflows.
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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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As a Lead AI Data Analyst/Engineer you will be supporting the iterative development of data science projects by identifying promising data sources, wrangling the data into features for machine learning and statistical analysis, refining features until a suitable model is created, and supporting our enterprise IT organization in deploying data pipelines.
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This Expert brings significant experience in crafting, developing, training, and delivering machine translation data sets, training models, and machine learning algorithms.
$176,800 - $265,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a solid background in machine learning and statistical modeling, The Lead AI/ML Engineer will play a key role in developing and implementing data-driven strategies to improve lead generation and lead scoring, customer segmentation, and marketing automation activities.
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machine learning data warehouse jobs Title: senior manager analytics in Windsor-mill, Maryland
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