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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.
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This role will be involved in working with Product Management, R&D, Business, Data Science and Data Architecture teams to design, build, and deploy a leading-edge platform supporting a robust analytics framework for the identification and reporting of illicit activities and associated behavioral patterns of abuse.
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My client are an exciting data intelligence start-up leveraging AI satellites to monitor, analyse and deliver intelligence data to customers in asset management, renewable energy, defense and military sectors.
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Master’s degree in Business Analytics, Statistics, Computer Science, Applied Mathematics, Data Science, MIS, Management, Operations Research, Industrial Engineering, or a related field. Must have 3 years of experience in Advanced Machine Learning, Applied Statistics, and Artificial Intelligence, including demonstrated experience in Business Domain, risk management protocols, abstract requirements, early-stage issues/gaps identification, problem solving, concepts application, customer service, basic situation analysis, statistical modeling, computer programming, and software engineering.
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Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence.
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The Lead Data Scientist in this position will be accountable for creating demand forecasts for these items and working with our supply chain teams to use the forecast to drive ingredient purchasing and inventory management decisions.
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Managing model risks in line with Visa Model Risk Management requirements. Using VisaNet data and leveraging Machine Learning (ML) and Artificial Intelligence (AI), our model scores help Visa clients all over the world for fraud defense, identity verification, smart marketing, etc.
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McKesson Corporation is a Fortune 8 company and is one of the largest providers of healthcare supply chain management solutions, retail pharmacy, medical & pharmaceutical supplies, healthcare technology, community oncology and specialty care in the United States with revenues of $231 billion in 2020.
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The candidate shall independently provide system updates and enhancements, organizational processes, and systems to improve the effectiveness of both organizational strategy and operations of programs supported by DHP. This will include updating, enhancing, and maintaining the data repository and internal Power BI-based DHP Dashboard, and other program management tools to track progress efficiently and effectively toward national goals and manage/monitor DHP recipients.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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UPS US Marketing is looking for a talented and driven Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data based decision making.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Proficiency in Python, Hadoop, Hive, Spark for big data analysis and modeling. Experience with using GitHub and Jira for data science projects. We use that data to help our clients in the payment ecosystem grow their businesses and to help consumers access a fast, safe, and rewarding payment experience.
$122,900 - $178,250 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The incumbent serves as a Data Scientist in the Office of Financial Management, Veterans Benefits Administration (VBA) Benefits Delivery Protection and Remediation (BDPR) division.
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In this role, your work on the team will primarily be in applying advanced analytics to enable better commodity risk management decisions. Commodity Analytics helps commodity producers, processors, buyers, and traders across agriculture/softs, metals, energy, and consumer sectors improve commodity price risk capabilities with cutting-edge data science.
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management job Title: data scientist in Atlanta, AL, Germany
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