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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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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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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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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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Creating a user-level feature store and related API endpoints to support machine learning tasks such as content recommendation and persona creation. Standing up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and integration with reporting endpoints.
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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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This position works with janitorial services and other Operations Services associates on keeping the building properly stocked with supplies and providing sufficient coverage for the Front Desk. The Building Ops Support position selects, schedules, and oversees a variety of vendors (e.g., car maintenance, vending machine, office and water supplies, front desk fruit, etc.
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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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Knowledge, Skills, and Abilities (KSAs): Data Integration; SAS Tools; SQL/SAS; Web Report Studio; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Business Planning.
$90,300 - $116,820 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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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