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Experience in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python and Spark.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Requirements: Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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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.
$200Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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What you'll be doing Build applications, tooling, and frameworks to improve the productivity of Discord's product, analytics, and machine learning teams, using modern technologies such as BigQuery, Airflow, Kubernetes, etc.
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As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Preferred QualificationsKnowledge of cross-platform development frameworks, such as Flutter/Dart. Understanding of modern SRE best practices.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Apply computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery. Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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Work collaboratively with data scientists, machine learning engineers, and DSP engineers to create, execute, and execute test plans, both in simulation and as implemented on embedded products, to identify areas of improvement and validate expected functionality of video and audio signal processing, machine learning, and artificial intelligence.
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Strong experience in machine learning model development, deployment, and monitoring. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure Event Hub, Azure DataBricks, MLFlow etc.
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We are seeking a highly skilled and motivated Senior Applied Machine Learning Engineer for our Federal Delivery team who is passionate about delivering value to US Federal Government clients with Generative AI. If you have experience harnessing data to deliver mission impact at enterprise scale, enjoy working with alongside product teams to iteratively improve capabilities, and thrive in client-facing technical environments, we would love to hear from you.
$250Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data Extraction and Intelligence: Implement pipelines to extract relevant information with precision, ensuring high-quality data is readily available for analytics and machine learning applications.
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The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy.
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The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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