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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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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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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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PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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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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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.
$200ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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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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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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.
$250ExpandApply NowActive JobUpdated 4 days ago - 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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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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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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Insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. You will utilize diverse machine learning and bioinformatic methods to perform downstream analysis and integrate omics, imaging, and human cohort data in order to extract insights about disease mechanisms.
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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime on an unprecedented scale.
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Requires proficiency in SAS, R, or Python (preferred) for data wrangling, automation, and creating statistical and machine learning models. Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks.
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machine learning open big data science jobs Company: Walmart in San Francisco, CA
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