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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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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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We are looking for Machine Learning Engineers of all skill levels with experience in Python, SQL, AWS & Databricks. As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft Fabric, dbt, Linux, Terraform, Bicep, Data Ops, Purview, Git, Delta, Pandas, Spark SQL.
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As a Machine Learning Engineer, you will be part of our Applied AI and Machine Learning team. You will work alongside other scientists and engineers in a collaborative environment, contributing features and machine learning models to our core recommender systems and our DaVinci Personalization product.
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Enterprise Data Engineering team is responsible for designing and developing the enterprise database architecture, data warehouse, reports, machine learning, and predictive analytics at SpaceX. We are part of a larger group called EIS (Enterprise Information Systems) that writes the software that builds rockets and powers SpaceX. We are responsible for all of the software on the factory floor, the warehouses, the financial systems, the restaurant, and even the public home page.
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Bachelor’s or Master’s degree in Computer Science or a related field with at least two years of professional experience in Machine Learning Operations and Data Engineering. Establishing machine learning infrastructure to comprehend the content of hundreds of millions of videos.
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Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows.
$139,700 - $247,300 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Help analyze equity and debt financial market data and history using various quantitative techniques (including regressions and machine learning algorithms) and derive statistics based on transaction data.
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You should have a good foundation in marketing measurement, advanced analytics, optimizations, A/B & multivariate testing, as well as a good understanding of machine learning models and other complex data analysis techniques.
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Guide the development and implementation of data science solutions, including machine learning algorithms to unlock insights and drive innovation and forecasting in content development and support teams such as finance and corporate development.
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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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