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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Engage in ML model building activities for fraud detection (approximately 20% of the role.
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Have experience in building forecasting model for trend analysisExcellent oral and written communication skillsPrior experience working in the healthcare industry is highly desirableExperience with deploying advanced natural language models and time-series model into production is highly desirableMS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience.
$202,400 a yearFull-timeWork from homeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Jerry is building the first super app to help people optimize all aspects of owning a car – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, real-time driving insights, a repair marketplace, car diagnostics, and a GenAI-powered chatbot.
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The Private Pricing Analytics and Insights (PPA&I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions.
$247,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Minimum of three years' experience building production NLP and deep learning models using PyTorch/Tensorflow, along with using large language model architectures (BERT, GPT-3 etc.) As our Lead Data Scientist, you will collaborate with and shepherd the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large.
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Experience using Looker (or other BI tools) for data visualization and report building. As a member of the Data Science team, the Data Scientist will support core teams – product, fleet, operations, member services, revenue management, and sales – to deliver on the company’s mission of enabling simple and responsible urban living.
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Guide federal clients with high autonomy in AI strategy and development, including understanding agency needs, performing exploratory data analysis, building and validating models, and deploying models into both on-prem and cloud environments.
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Expertise in working with natural language data and building text-based products, using both classic and state of the art NLP techniques (e.g. text mining, word embeddings, transformer-based models.
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Is an international company offering data curation, data governance and models, bioinformatics analysis, workflows and pipelines, knowledge mining, target profiles, building databases with content, business analyst services to clients in pharmaceutical and biotech companies, foundations, government, and hospitals.
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Data Scientist: At least 1 year of specialized experience, equivalent to the GS-09 grade level in the Federal service, to include experience designing experiments, testing hypotheses, and building scalable data science models; and conducting data analysis and designing algorithms using artificial intelligence (e.g., machine learning) methods OR.
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Sample projects include building out growth models, creating and mapping input metrics to various squads, devising experimentation frameworks to measure incrementality, and utilizing blockchain data to unlock new product opportunities.
$237,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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