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Causal modeling, NLP, time series, deep learning, etc. Develop and Enhance ML Models: You’ll design, build and deploy sophisticated machine learning models that improve our credit decisioning, fraud detection and other processes.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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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 a Senior Machine Learning Operations Engineer who is passionate about all things data. Experience in statistics, data mining, or machine learning.
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Knowledge of one or more of the following: Machine learning, distributed systems, quantum simulation, quantum chemistry, linear algebra, quantum information, or quantum physics. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
$185,000 - $283,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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What you’ll do:We are hiring a Machine Learning Engineer to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes of YouTube, TikTok, Facebook and other social media data.
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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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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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Develop and execute comprehensive paid media strategies that align with business goals, including but not limited to search engine marketing (SEM), display advertising, paid social media, and programmatic advertising utilizing paid media platforms such as Google, Meta, YouTube and Tiktok.
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The position's primary responsibilities include the strategic oversight of prospect, donor and gift data, the translation of business use cases into actionable reports and dashboards, oversight and development of the business intelligence environment, and the application of analytics to help build the prospect pipeline for a variety of fundraising initiatives, including principal gifts, major gifts, planned giving, annual giving, and events.
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We look for a highly motivated and competitive postdoc with a detailed understanding and knowledge of genomic and epigenomic data processing and analysis, expertise in multi-omics data integration, and working experience with computational modeling and machine learning.
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Responsibilities include establishing pathways for experimentation in digital learning spaces by offering consultation services and delivering professional learning opportunities that support instructors in making data-driven, research-informed, and iterative instructional improvements to their courses and effectively integrating rapidly evolving educational technology into their teaching.
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A good understanding of statistical modelling knowledge or any machine learning technique knowledge is a plus (regression, logistic regression, random forest, etc.) Extensive knowledge of data management and analysis tools including Databricks, Snowflake, Domo, and Tableau (Teradata and Cognos a plus; Splunk, Kibana, DataDog, New Relic, or other monitoring tools an huge plus.
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In this role, you will assume overall leadership of one of our summer day camp locations providing expanded learning opportunities to students in under-resourced schools, many of whom are Englist learners, eligible for free or reduces meals, or foster youth.
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Experience working with data: media analysis, media mix models, multi-touch attribution models, digital attribution, consumer research, and shopper insights. Investment and activation experience with performance-based digital media, Paid Search, and Retail Media.
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