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As a Senior Data Scientist on our team, you will partner with our engineers, other data scientists, and researchers to experiment, design, build, and deploy statistical, machine learning, and AI models to protect the Microsoft Cloud against known and emerging cyberattacks.
$112,000 - $238,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Using Databricks, which was named to both the Magic Quadrant for Cloud Database Management Systems and the Magic Quadrant for Data Science and Machine Learning Platforms, you'll using best in class technology to help our customer solve some of their most challenging data problems.
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As a Senior Data Scientist, you will be responsible for developing advanced data science solutions leveraging machine learning and artificial intelligence to drive enterprise-wide innovation.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Strong understanding of machine learning concepts and techniques, including deep learning, reinforcement learning, natural language processing, and computer vision. Proficiency in programming languages such as Python, TensorFlow, PyTorch, or scikit-learn, with hands-on experience in developing and deploying machine learning models.
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The Sr Consultant ML Scientist will work with a team to conduct world-class research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa's strategic products and business.
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The Data Scientist has familiarity with industry best practices for software/hardware optimization when processing large data sets and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics; experience with Hadoop, Spark, or other parallel storage/computing processes is a plus.
$114,100 - $219,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Experience with neural deep learning methods and machine learning.
$136,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role, you will be part of a team working in a fast-paced, open-ended environment with cutting edge technologies in deep learning and generative AI. You'll help define and influence how our firm's data scientists and business teams leverage data and machine learning to improve our processes and products.
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Utilizes expertise in statistical and machine learning methods using tools such as R and proficiency in big data infrastructures such as Hadoop to perform tasks related to all aspects of model development, including data extraction/data load, data cleansing, predictive analysis and model build.
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
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Experience in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization. Experience using open-source tools, cloud computing, machine learning and data visualization.
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Special Skill Requirements : (1) Python; (2) SQL; (3) Java; (4) Hadoop and Hive; (5) pandas; (6) PostgreSQL; (7) MySQL; (8) Redis; (9) Machine Learning Algorithms including Linear Regression, Logistic Regression, and Vector Machines; (10) IBM DB2; (11) C.
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They are currently searching for a Data Scientist who is passionate about machine learning, NLP, and big data. You will be working on multi-terabyte data sets using Hadoop and Python while building machine learning and data mining algorithms.
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