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5+ years of experience as a Machine Learning engineer building production-level pre/post-processing data pipelines for ML/DL modelExperience in statistical analysis & visualization on datasets using SQL, Pandas or R.
$208,000 - $244,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Perform bioinformatics analyses and apply machine learning techniques, and deep learning on high dimensional biomarker data. Work with trial investigators and the sponsor’s biometrics team to support development and timely execution of bioinformatics and statistical analysis plans for collaborative studies that leverages biomarker and clinical data from the trial to address clinically and/or translationally relevant questions.
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As a Distinguished Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
$247,800 - $371,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Python for statistical analysis and building machine learning models. Experience with dbt or similar analytics workflow tools a big plus. 4+ years of professional experience as a data scientist in the SaaS industry.
$152,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a solid background in machine learning and statistical modeling, The Lead AI/ML Engineer will play a key role in developing and implementing data-driven strategies to improve lead generation and lead scoring, customer segmentation, and marketing automation activities.
$203,200 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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6+ years of experience in machine learning, data analysis, or a related field. Strong knowledge of machine learning algorithms and data analysis techniques. Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions.
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Your primary responsibility will be to lead the development of our time series forecasting models for solar and energy consumption using machine learning techniques, but you will also help develop new forecasting models as various needs arise (eg: prototyping forecasting wholesale prices for a new market.
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By integrating this data with our online systems, we empower multiple business lines, drive critical machine learning models, and fuel fast-paced experimentation. Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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We're looking for an enthusiastic and experienced Machine Learning Engineer that will help us leverage AI to build impactful tools for across Block, with a focus on engineering velocity.
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Expertise in statistical modeling, machine learning algorithms, and data mining techniques, with proficiency in programming languages such as Python, R, or SQL. As the Principal Data Scientist for Enterprise Data Science at Gap Inc., you will play a pivotal role in leveraging advanced analytics and machine learning techniques to drive growth, optimize customer experiences, and enhance operational excellence across all Gap Inc. brands.
$196,800 - $260,800 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The Machine Operator Role Is Responsible For. You will assemble PCBAs for our world-class hardware that is used in lithium-ion battery systems globally. Stafl Systems is dedicated to advancing all applications of lithium-ion battery technology to achieve a clean energy future.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Demonstrate knowledge of technologies that support collaboration, automation and data-driven story-telling including: Microsoft Products (Teams, PowerBI, MS Office), G-Suite (Google), and business intelligence tools.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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machine learning source big data jobs Company: Walmart in San Francisco, CA
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