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Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, LightGBM, Flask, FastAPI, Docker, Jupyter.
$178,000 - $235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects.
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Head Of Machine Learning - RWE - United StatesHead Of Machine Learning - Real World Evidence - United StatesHead of Computational Science & Data Strategy, Research.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance. We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission.
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Proven publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields. Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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Technical Proficiency: Familiarity with data science methodologies (machine learning, statistical modeling, etc.) KEY RESPONSIBILITIES: Team builder with an understanding of Generative AI use cases techniques including zero shot learning, fine tuning and RAG Project Leadership: Lead end-to-end project management for data science initiatives, from inception to completion, ensuring alignment with strategic goals and timelines.
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Understand the needs of data engineering and data science groups and deliver best-in-class solutions for them by leveraging open-source software like DBT and Dagster.
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In Disputes we build highly available and scalable, Machine Learning driven products that integrate with the broader Cash App ecosystem to help customers solve their problems. We appreciate broad perspectives, a willingness to dive deep, and a readiness to work collaboratively across many disciplines (including product, design, operations, legal, data science, ML.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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2 years work experience in Machine Learning, Data Science, and Software Engineering Experience in applied ML with a proven record of successful ML projects with vital individual contribution Proven experience in taking ideas to actual products Deep understanding of data structure, performance optimization, and algorithms.
$100,000 - $130,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Science Senior Manager, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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Our team is responsible for enabling Hims & Hers business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, and Engineering) by providing a platform with a rich set of data and tools to leverage.
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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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machine learning open source big data science jobs Company: Walmart in South San Francisco, CA
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