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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
$150Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Its mission is to produce data artifacts, decision frameworks and analytical tools that drive efficient trade-offs between product availability, delivery speed and operating cost across Wayfair globally, using best-in-class machine learning, economics and statistics based approaches.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data warehousing tools (Snowflake, SQL Server, Google BigQuery) is a plus. The Senior ML Research Engineer will play a critical role in building a robust machine-learning codebase, distributing AI/ML models on the AI cluster, and utilizing their expertise to tackle complex challenges in large AI/ML applications.
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Experience programming and reviewing code using statistical and data software tools like R, Python, SQL, Spark, Scala, etc. Experience programming using quantitative, procedural, and statistical programming languages such as R, Python, SQL, Spark, and Matlab.
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The Lead Machine Learning Engineer will lead the design, recommendation & implementation of platform, infrastructure and best MLOps/LLMOps practices to support all data science teams and projects in US Segment Advanced Analytics.
$120,610 - $223,990 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
$80,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data-driven decision-making abilities, familiarity with tools like Mixpanel, Looker, SQL and unafraid to learn and adapt to new tools; Join us at Topsort, a dynamic and innovative Series A startup in the media space that is democratizing the secret of profitable and delightful Google and Amazon style advertising via simple, auction-based products that leverages newest technology in machine learning.
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
$143,300 - $247,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with a variety of relational SQL and NoSQL databases, big data tools (such as Hadoop, Spark, Kafka), and at least one cloud provider solution (AWS highly preferrable) This key technical role requires hands-on expertise across data science, machine learning, and AI solutions.
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Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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Knowledge of Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field. Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
$80,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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